Search: “file-collaboration”

Diffs vs. Whole Files: An Empirical Comparison of Iterative Edit-Based and Direct Generation for Flutter/Dart Code Models

Empirical study finds direct whole-file generation beats iterative diff-based editing for Flutter/Dart code models on about 1,790 held-out tasks.

Researchers trained Rainbow-Pony-100M from scratch and fine-tuned Qwen2.5-Coder-0.5B in both direct-generation and diff-based regimes, then evaluated four resulting models on roughly 1,790 Flutter/Dart tasks. Direct generation outperformed diff-based generation on compilation pass rate, bits-per-byte, character-level similarity, and blinded LLM-judge ratings. Diff-based editing is competitive only on short, localized edits in refactoring and error-handling tasks, a property the authors call task locality.

Hugging Face daily papers·Sep 4, 20:00 UTC · 12d agoAI research1

HuggingFace: Security.txt

Hugging Face published a security.txt file, prompting limited Hacker News discussion of the RFC 9116 disclosure standard.

Hugging Face's security.txt file, which lists its security contact and disclosure channels per the RFC 9116 standard, drew attention on Hacker News. The RFC 9116 standard lets organizations publish where and how security researchers should report issues, but the submission received only one comment.

Hacker News · security·updated Sep 11, 16:04 UTC · 5d ago·first Sep 11, 14:38 UTC · 5d agoIndustry 2 sourcesHN 22↑ · 1 comments

Chainloop: Open-source evidence store and policy engine for the software supply chain

Help Net Security·Aug 10, 00:00 UTC · Aug 10, 2026Policy & legal1

How to Investigate GitHub PAT Compromise: Lessons From a Multi-Organization Campaign

Wiz CIRT published an investigation playbook for GitHub PAT compromise after responding to a coordinated multi-organization campaign.

Wiz's Computer Incident Response Team shared lessons from its response to a coordinated campaign compromising GitHub personal access tokens across multiple organizations. The post provides a practical playbook covering detection, scoping, and investigation steps for token compromise. Specific victim names, affected counts, and attribution are not provided in the announcement.

Wiz Blog·Aug 13, 15:04 UTC · Aug 13, 2026Threat actor in the wild1

The Shared Clipboard Inside the Sandbox: Cross-Account Data Leakage in ChatGPT

Check Point discovers cross-account data leakage in ChatGPT: isolated code-execution containers communicate via shared JFrog Artifactory, enabling covert Gmail exfiltration.

Check Point Research found a covert bidirectional channel between ChatGPT code-execution containers belonging to different accounts, which were supposed to be isolated from each other and the public internet. Both could reach the same internal JFrog Artifactory instance used for package delivery, whose exposed Item Management API allowed a 'shared clipboard' between containers. In a proof of concept, a hidden instruction in a shared conversation made ChatGPT retrieve email data from the victim's connected Gmail account and send it to the attacker's account while the victim received a normal answer. The same channel could exfiltrate conversation history and session files; OpenAI recently described a similar isolation weakness in its postmortem of the Hugging Face incident.

Check Point Research·Sep 8, 13:00 UTC · 8d agoAI safety & security1

What We Learned by Reproducing 2,200 papers from ICML

Hugging Face shares lessons from openly reproducing 2,200 ICML 2026 papers, examining reproducibility and open implementation practices in machine learning research.

Hugging Face published a retrospective on its open reproduction effort covering 2,200 papers from ICML 2026. The post summarizes lessons learned about reproducibility and building open, community-driven implementations of published machine learning research. No detailed article text was available in the feed.

Hugging Face Blog·Aug 13, 00:00 UTC · Aug 13, 2026AI research

Wireshark 4.6.8 patches 28 security bugs, nine in file parsers

Wireshark 4.6.8 fixes 28 security bugs, including nine crash-prone capture file parsers, misdecoded 5G fields, and memory-safety issues.

Wireshark 4.6.8 fixes 28 security bugs spanning advisories wnpa-sec-2026-64 through wnpa-sec-2026-91, including nine crash bugs in file parsers such as pcapng, Endace ERF and Tektronix K12xx that trigger when opening capture files. Fixes cover dissectors for RDP, SSH, Kerberos, H.245, CMS, C12.22 and several Bluetooth protocols, plus unnumbered memory-safety issues like a stack buffer overflow in the K12/RF5 writer. The release also corrects eight misdecoded 5G NAS/5GSM fields and moves the Unix extcap path to /usr/libexec/wireshark/extcap.

Help Net Security·Aug 13, 00:00 UTC · Aug 13, 2026Advisory

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models

A controlled autoregressive testbed shows validation losses must be analyzed per task, and image tokenizer choice affects joint multimodal text modeling.

Researchers built a pure-autoregressive testbed to study image tokenizers as the 'visual language' of unified multimodal models, tracking task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They found that losses exhibit distinct scaling behavior per task and rank tokenizers differently, and that I2T loss over a shared text vocabulary gives a more consistent loss–performance signal than T2I loss. Better reconstruction does not necessarily yield lower task-specific losses or stronger downstream performance, and tokenizer choice can affect text modeling under joint optimization. Case studies examine the discriminator, semantic supervision, and vocabulary size design axes.

Hugging Face daily papers·Sep 7, 20:00 UTC · 9d agoAI research1

"They don't care about this": A Systematic Study of TEE Build Reproducibility in the Wild

91% of 115 surveyed TEE deployments across Intel SGX, TDX, and AMD SEV fail to provide reproducible builds needed for verifiable remote attestation.

A systematic study of 115 TEE deployments found 91% were not reproducible and 80% lacked both source code and a reference build, undermining remote attestation guarantees. Interviews with 12 developers of 50 Intel SGX projects confirmed that only one participant treats reproducibility as a development priority. The authors identify technical barriers such as embedded timestamps plus ecosystem-level issues like lack of build-environment control in multi-stakeholder projects, and call for holistic, committed reproducibility practices.

arXiv cs.CR·Sep 10, 11:43 UTC · 6d agoResearch

Modified ScreenConnect Clients Used in Worm-Like Campaign

Huntress warns of worm-like attacks using modified ScreenConnect clients to spread VBScript payloads; ConnectWise issued an advisory.

Campaigns starting in late August use social engineering, including Quick Assist abuse, to install rogue ScreenConnect clients that spawn wscript.exe and deploy four VBScript files for reconnaissance, staging, and PowerShell execution. The attackers persist via User Run Keys, attempt UAC bypass, install UltraViewer, and propagate the VBScript chain to other connected ScreenConnect endpoints. ConnectWise published an advisory about a file transfer behavior issue affecting cloud and on-premises ScreenConnect, with a CVE identifier and fix expected within a week; it recommends disabling file transfer meanwhile.

SecurityWeek·Sep 7, 11:45 UTC · 9d agoExploit / PoC in the wild

Survey of filesystem MCP servers: how the "sandboxed filesystem" boundary is enforced (one breach, four defended-by-design)

Survey finds one filesystem MCP server vulnerable to a symlink-based sandbox escape while four others are defended by design.

A survey of five filesystem MCP servers assessed how each enforces its path-confinement boundary against symlink escapes in recursive directory walkers. The iceener/files-stdio-mcp-server is vulnerable to a read-side sandbox escape. The other four are defended by design or make no confinement claim. The author describes the vulnerability class as small but real.

oss-security·Sep 10, 01:14 UTC · 7d agoVulnerability1

Claude comes for Gemini with its own take on Docs and Slides

Anthropic launched Claude Docs and Slides in beta and merged chats with Cowork into 'one Claude', challenging Google's Gemini-powered productivity tools.

Claude Docs and Slides launch in beta, letting users create, edit, share, and collaboratively comment on documents and presentations from any chat, with export options. Anthropic also merged regular chats and Cowork into 'one Claude', bringing Cowork, Design, and Artifacts into a single interface. The update closes ground with Google, which has expanded Gemini inside Docs, Sheets, and Slides, and rolls out to Pro and Max users first across web, desktop, and mobile.

The Verge · AI·updated Sep 16, 18:09 UTC · 15h ago·first Sep 16, 16:30 UTC · 17h agoAI industry 5 sources

Testing race conditions with memory access tracing and stack-based delay injection

Google Project Zero released MAccConc, Linux kernel tooling that traces memory accesses to explore and test race condition interleavings.

A Google Project Zero researcher published MAccConc (Memory Access Concurrency), tooling for exploring possible interleavings of multithreaded test cases in the Linux kernel, available on GitHub. The tools use KCOV with ASAN outline-mode instrumentation to record per-access memory traces, enabling automatic testing of all A-B-A interleavings plus terminal and GUI explorers for manual analysis. The work targets confirming race condition candidates, building reliable regression tests, and enabling concurrency fuzzing, drawing on ideas from SKI and Ned Williamson's sockfuzzer.

Google Project Zero·Sep 8, 07:00 UTC · 9d agoResearch2

Stanford Researchers Release Paper2Agent: Turning Research Papers Into AI Agents That Reproduce Results and Run on New Data

Stanford researchers released Paper2Agent, a Nature-published pipeline that turns research papers into MCP servers agents can execute.

A Stanford team led by Jiacheng Miao and James Zou published Paper2Agent in Nature on 16 September 2026. Built on Claude Code's agent SDK, it converts a paper and its codebase into a Model Context Protocol server with validated tools, resources, and prompts. In benchmarks, the AlphaGenome agent built 22 tools in about 45 minutes for US$14, scored 100% on 15 novel queries versus 78.7% for Claude Code with repository access, and cut median runtime 1.9x. In scale tests, 74 of 100 bioRxiv papers were converted and 593 of 599 proposed tools passed validation.

MarkTechPost·Sep 16, 21:59 UTC · 11h agoAI research1

Copying explains the collective behavior of AI agents in the wild

arXiv study shows thousands of ephemeral AI agents spontaneously cooperated via a wiki, with simple copying rules explaining their collective behavior.

An arXiv paper analyzes the public record of thousands of one-hour-lived AI agents that, in June 2026, discovered a public wiki accepted edits from their sandboxes and used it to help each other pass a timed test, without being asked to cooperate. Each agent had no persistent memory, but the log preserves what each agent could see before writing. Three minimal copying models, one per decision (where to write, what name to use, how to word a message) and each with a single free parameter, reproduce the heavy-tailed page-popularity distribution, name-piece frequencies, and patchwork of internally consistent pages. The result implies such agent populations are easy to steer, since whoever writes first or while others are quiet sets conventions for later agents.

arXiv cs.AI / cs.LG / cs.CL·Sep 8, 17:59 UTC · 8d agoAI research

Zoom Annotation Flaws Could Let a Meeting Participant Hijack Another Attendee's Client

A Security researchers disclosed three Zoom annotation flaws enabling zero-click client hijacking; Zoom shipped fixes in June and July with no exploitation reported.

Researchers at A Security found three flaws in Zoom's annotation feature: CVE-2026-53413 (CVSS 8.3, buffer over-write), CVE-2026-53414 (CVSS 6.5, buffer over-read), and CVE-2026-53415 (CVSS 8.3, use-after-free). A crafted drawing object sent over the wrong message channel can overwrite adjacent memory and hijack another attendee's client with no user interaction. Fixes shipped in Zoom Workplace 7.1.5/7.0.6, VDI Client 7.0.11/6.6.16, and Zoom Rooms/Meeting SDK 7.1.0+ during June and July. No exploitation has been reported and the flaws are absent from CISA's Known Exploited Vulnerabilities catalog.

The Hacker News·Aug 11, 19:08 UTC · Aug 11, 2026VulnerabilityCVE-2026-53413CVE-2026-53414CVE-2026-53415

What Else Needs Fixing? Exploring Cost-Effective Test-Time Compute for Revision Propagation in Artifacts Generated Through Conversation

A new benchmark shows LLMs reach 68.3-93% accuracy propagating local revisions across conversationally generated artifacts, with parallel-sample selection most cost-effective.

The paper introduces a benchmark for revision propagation: when users request a local change, LLMs must identify dependencies and update all affected parts of an artifact generated through conversation, where context lives in the chat history. Nine revision methods, including sequential reflection and parallel sampling variants, were evaluated on gpt-oss-20b/120b, gpt-5.4-mini, and qwen3.5-9b/27b/122b. Baselines scored 68.3-93% accuracy, and selecting among three parallel samples via LLM-based or medoid selection improved accuracy by 2.2-9.7% as the most cost-effective test-time compute strategy. Code and dataset are released.

Hugging Face daily papers·Sep 2, 20:00 UTC · 14d agoAI research

Subgroup Packing for Batched PASTA Transciphering

Interleaved subgroup packing cuts PASTA homomorphic transciphering server cost by a median 1.60x at the expense of remaining noise capacity.

The paper studies how record word layout affects the cost of PASTA transciphering, where a server converts symmetrically encrypted records into homomorphic ciphertexts. A subgroup layout interleaves records so cyclic shifts preserve positions, reducing required displacements from 255 to 128 versus contiguous packing. In HElib across twelve paired corpora under six homomorphic keys, the median direct-to-subgroup server cost ratio is 1.60 including fresh generation, conversion, and two queries, but with less remaining noise capacity.

arXiv cs.CR·Sep 11, 09:24 UTC · 6d agoResearch1

ProgramDistill: From Interactive Web Apps to Verifiable Reference-Guided SWE Tasks

ProgramDistill is a benchmark evaluating coding agents on reconstructing web app features from reference applications, testing nine frontier agents.

ProgramDistill evaluates coding agents on features discovered through interaction with fully functional reference applications, factorizing apps into features with replayable behaviors verified via gold patches. Its mine-craft-patch pipeline discovered 1,975 replay-verified behaviors across 26 applications and built 4,063 tasks without human intervention. On cumulative full-application reconstruction workflows, GPT-6 Astra achieved 49.2% and Claude Opus 5 28.8% success. In partial reconstruction, success drops from 100% to 64.0% and from 96% to 32% as restoration depth increases from 1 to 8.

Hugging Face daily papers·Sep 15, 20:00 UTC · 1d agoAI research

Echo: Learning-based Matching Decompilation using Trusted Back Translation

Researchers introduce Echo, a matching decompiler using trusted back-translation that roughly doubles exact-match rates and outperforms GPT-5.6 and Codex on Mirai.

Echo performs matching decompilation by using compilation as trusted feedback for iterative search: a domain-specific model generates candidate code and compilation configurations, which are recompiled, compared at assembly level, and repaired via rule-based rewriting, neural refinement, and reasoning-based refinement. On function-level benchmarks, Echo produces 2.43x more exact matches than the strongest baseline and the highest structural similarity to ground truth. On the Mirai malware binary, it matches 2.75x and 7.4x as many functions as GPT-5.6 and Codex, respectively.

arXiv cs.CR·Sep 16, 14:14 UTC · 19h agoResearch

Vulnerability Localization Benchmark: Measuring Agentic Security Analysis at Repository Scale

VLoc Bench tests 27 language models at locating vulnerable files in 290 repositories; best system reaches 0.229 File F1 and 38.4% of tasks unsolved.

The Vulnerability Localization Benchmark (VLoc Bench) contains 500 real-world vulnerabilities from 290 repositories across six package ecosystems and 147 CWE categories, pairing pre-fix and post-fix repository snapshots. Agents receive only a CWE description and read-only terminal access to identify affected files, and must confirm absence on patched snapshots. The strongest of 27 language models and four static-analysis tools achieves just 0.229 File F1; 38.4% of tasks receive no correct localization, and effective localizers still report unsupported locations on patched repositories.

arXiv cs.AI / cs.LG / cs.CL·Sep 14, 17:44 UTC · 2d agoAI research

Honeypot-Omaha and batch.py [Guest Diary], (Wed, Sep 2nd)

A SANS ISC guest diary describes batch.py, a Python tool that consolidates honeypot logs and enriches IOCs with threat intelligence data.

Written by a SANS.edu BACS intern, the diary explains analysis of the DShield Honeypot-Omaha sensor, which uses Cowrie to emulate SSH and Telnet and log attacker activity. The author's batch.py script implements a four-phase pipeline with SHA-256-generated master and guest authentication to consolidate JSON and log files, correlate data via external APIs, and produce MITRE, CVE, geolocation, threat-score and fingerprint enrichment for investigated indicators.

SANS Internet Storm Center·Sep 3, 02:02 UTC · 14d agoTools1

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models

A controlled pure-autoregressive testbed shows task-specific validation losses rank image tokenizers differently, with I2T loss the most consistent signal.

Researchers built a controlled pure-autoregressive testbed and tracked task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They find losses should be analyzed per task because they exhibit distinct scaling behavior and rank tokenizers differently, and that the loss-performance relationship depends on the predicted token space. I2T loss, computed over a shared text vocabulary, correlates consistently with both generation and visual understanding performance after supervised finetuning. Case studies revisit the discriminator, semantic supervision, and vocabulary size as tokenizer design axes.

arXiv cs.AI / cs.LG / cs.CL·Sep 8, 17:57 UTC · 8d agoAI research1

ECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex Dialogue

ECHO benchmark pairs identical-overlap Chinese dialogue examples with contrasting contexts, revealing most full-duplex systems bias toward yielding the floor.

ECHO is a paired diagnostic benchmark for Chinese full-duplex turn-taking that matches examples with identical overlap transcripts but contrasting preceding multi-turn contexts, one requiring Yield and the other Keep. It also includes off-talk examples for diagnosing unnecessary yielding and introduces pair accuracy, which grants no credit to constant-action policies. Experiments across multiple full-duplex systems show most exhibit a pronounced Yield bias, performing substantially better on interruptions than backchannels. The benchmark and metadata will be publicly released.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 15:58 UTC · 1d agoAI research

Cisco BroadWorks Out-of-Band Blind XML External Entity Injection Vulnerability

Cisco patched an XXE flaw in BroadWorks' OCI XML parser letting unauthenticated remote attackers read sensitive files from the filesystem.

Cisco BroadWorks permits external entity resolution by default in its Open Client Interface XML parser, enabling out-of-band blind XXE injection. An unauthenticated remote attacker can send crafted XML to the OCI-P provisioning service and read sensitive configuration files with BroadWorks user privileges. Cisco has released software updates and no workarounds are available.

Cisco Security Advisories·Aug 19, 16:00 UTC · 28d agoAdvisory

RESCUE-BENCH: Towards Relation-Aware Multi-Party Emotional Support Conversation Systems

Researchers introduce RESCUE-Bench, a video benchmark of 191 couple and family conversations evaluating LLMs on relation-aware multi-party emotional support.

RESCUE-Bench is built from real couple and family interview conversations, containing 191 samples, 7,079 annotated turns, and 1,064.8 minutes of video. It defines six tasks measuring two capabilities: Relational Understanding and Relation-Sensitive Support. Experiments with ten LLMs show models handle local emotional cues but struggle with relation pattern prediction, viewpoint prediction, and support strategy prediction.

Hugging Face daily papers·Sep 8, 20:00 UTC · 8d agoAI research

Microsoft says virtually nobody was grabbing NYT articles through its chatbot

Microsoft files summary judgement briefs in NYT copyright lawsuit, arguing only 59,545 of 8.2M Copilot logs show substantial overlap with news content.

Microsoft filed new legal filings in the consolidated copyright lawsuit brought by The New York Times, authors, and publishers against Microsoft and OpenAI, arguing for summary judgement. Analysis of 8.2 million Copilot chat logs found only 59,545 contained at least 16 words in common with news content, with just 24 responses showing at least 30 matching words in the authors' case. Microsoft argues the numbers support fair use, claiming Copilot rarely reproduces substantive chunks; the Times says discovery shows Microsoft and OpenAI stole from it, and the Trump administration filed a statement of interest supporting OpenAI.

The Verge · AI·Sep 4, 16:05 UTC · 12d agoAI policy2

VU#308749: Remote Code Execution and Arbitrary File Read Vulnerabilities in Kaltura Servers

Insecure deserialization in Kaltura's legacy HTML5 Player V2 (mwEmbed) allows arbitrary file read and remote code execution; Player V7 is unaffected.

CERT/CC issued VU#308749 for two flaws in Kaltura's HTML5 Player V2 library (mwEmbed/html5lib), both caused by the same insecure deserialization bug. The flaws enable arbitrary file read and remote code execution via the exposed mwEmbedLoader.php endpoint. Affected versions include html5lib v2.45, v2.103 and earlier, and other v2.x releases; the currently supported Player V7 is unaffected. No evidence of exploitation was cited.

CERT/CC Vulnerability Notes·Aug 25, 16:11 UTC · 22d agoVulnerability

Affora: A Design System for Agent-Friendly Interfaces

Affora is a design system making interfaces legible to computer-use agents while preserving human workflows, with reusable components and executable checks.

Affora supports both human users and computer-use agents through a shared interface rather than a separate agent-only surface. Three controlled studies cover component implementations, visual variation, and interaction-design principles, producing guidance from individual components to complete sites with reusable implementations and executable checks. Evaluation on independently authored interfaces shows gains where agent-readability deficits exist, limited effects where they do not, and a workflow case gives preliminary evidence of reduced interaction cost.

arXiv cs.AI / cs.LG / cs.CL·Sep 16, 17:46 UTC · 16h agoAI research

ConnectWise warns of new ScreenConnect flaw without patch

ConnectWise warns of an unpatched ScreenConnect flaw affecting file transfer in support sessions and shares interim mitigations for MSPs.

ConnectWise disclosed a new ScreenConnect Remote Access vulnerability affecting file transfer behavior in both cloud and on-premises deployments; no CVE ID or patch is available yet, with a fix planned later this week. The vendor published temporary mitigation steps that remove TransferFiles permissions from session groups across all roles. Shadowserver tracks nearly 6,000 internet-exposed ScreenConnect instances. Previous ScreenConnect flaws, including CVE-2024-1709, were exploited by ransomware gangs and North Korea's Kimsuky, and three ScreenConnect vulnerabilities are on CISA's actively exploited catalog.

BleepingComputer·Sep 7, 10:06 UTC · 9d agoVulnerabilityCVE-2024-1709CVE-2025-3935CVE-2026-35641