Search: “Papers with Code”

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Paper defines Discovery Foundation Models with seven coupled capabilities for open-ended discovery, demonstrated via Zetema and GALILEO systems.

The paper formulates Discovery Foundation Models (DFMs) as general-purpose model systems for open-ended discovery, supporting seven coupled capabilities spanning problem discovery, formulation, representation construction, hypothesis formation, intervention, evidence-grounded revision, and continual improvement. It instantiates the framework with Zetema, which couples explicit research-state dynamics, verification and experimental gating, and cross-task Discovery Skill evolution. The framework is grounded with GALILEO, a real therapeutic-discovery system combining dry-lab reasoning with robotic wet-lab experimentation in a closed physical discovery loop; code is released on GitHub.

Hugging Face daily papersupdated Sep 14, 17:56 UTC · 2d agofirst Sep 13, 20:00 UTC · 3d agoAI research 2 sources

Signing the Transaction but Not the Decision: Whisper Attacks and a Binding Defense for AP2

Research shows AP2 agent-payment signatures can be manipulated into valid but wrong carts; proposed A-VIP defense binds signed intent to purchases.

A study demonstrates Whisper attacks on the AP2 agent payment protocol, where ordinary product-description text steers shopping agents into carts that pass every cryptographic check but no longer match user intent. Using Gemini Flash-Lite models specified by AP2's default sample agents, three attacks succeeded at 90%, 56%, and 73.3%, with the vulnerability spanning seventeen Google models, three agent frameworks, cross-vendor anchors, and Google's consumer assistant. The proposed A-VIP defense treats signed intent as a capability grant, binding credential lookups to sessions and cart lines to seen listings, blocking the first two attacks with zero false positives while surfacing unauthorized spending. The authors release A-VIP code, machine-checked invariants, and AP2-WhisperBench with 1,544 evaluation scenarios.

arXiv cs.CRupdated Sep 10, 16:51 UTC · 6d agofirst Sep 10, 16:11 UTC · 6d agoAI safety & security 2 sources1· 1 read

Wärtsilä FOS-Onboard

CISA advisory: two hardcoded cryptographic key flaws in Wärtsilä FOS-Onboard 5.07.0923.01 (CVSS 9.0/9.1) could allow unauthorized updates, code execution, and credential theft.

CISA advisory ICSA-26-258-02 discloses CVE-2026-78225 (CVSS 3.1 9.0 critical), a hardcoded cryptographic server key in the deployer-ng Update Controller of Wärtsilä FOS-Onboard 5.07.0923.01. CVE-2026-81855 (CVSS 3.1 9.1 critical) is a hardcoded client authentication key in the robot testing framework component. Successful exploitation could let an attacker deliver unauthorized updates, execute code, or extract credentials to impersonate a privileged client. The product is deployed worldwide in transportation systems critical infrastructure; Cydome Security reported the flaws and CISA states no known public exploitation exists.

CISA AdvisoriesSep 15, 12:00 UTC · 1d agoAdvisory CVE-2026-78225 CVE-2026-81855

Can Skills Learned in Games Transfer to Real-World Work?

Good Start Labs trains models in strategy games like 1830 and Diplomacy, showing terminal-agent training transfers to financial research benchmarks.

Good Start Labs, spun out of Every with $3.6M from General Catalyst and Inovia, trains AI models in verifiable strategy games. A 30B model trained as a multi-turn terminal agent in 1830: The Game of Railroads and Robber Barons improved Finance-Agent benchmark performance, while single-turn QA training did not transfer. The founders also co-authored COS-PLAY, a paper on co-evolving LLM decision and skill-bank agents for long-horizon tasks.

Latent SpaceSep 15, 20:11 UTC · 1d agoAI research

AVEVA Pipeline Integrity Monitor

CISA advisory details four flaws in AVEVA Pipeline Integrity Monitor <=2025_SP1_P1, allowing information disclosure, weak-hash admin elevation, and cross-site scripting.

CISA published ICSA-26-253-01 covering AVEVA Pipeline Integrity Monitor versions <=2025_SP1_P1_build_7.1.9580.8513. CVE-2026-81821 (hard-coded cryptographic key, CWE-321) lets a user with read access decrypt PIMBoards project files, and CVE-2026-81822 (CWE-327) allows brute-forcing weak password hashes to elevate to PIMBoards administrator; both score 8.4 HIGH (CVSS v3.1). CVE-2026-81823 (CWE-862) permits unauthenticated read operations, and CVE-2026-81824 (CWE-79) enables arbitrary JavaScript execution via socially engineered links. CISA reports no known public exploitation and recommends limiting network exposure of control system devices.

CISA AdvisoriesSep 10, 12:00 UTC · 6d agoAdvisory CVE-2026-81821 CVE-2026-81822 CVE-2026-81823+1 CVEs

Forgery of C2PA on a Pixel 10

Researcher forged a Google Pixel 10 C2PA content credential with genuine signatures, showing root-level attackers can fake photo provenance.

A Hacker Factor blog post demonstrates an AI-generated 'unicorn glitter milk' news photo carrying a valid, cryptographically signed C2PA manifest traceable to Google's Pixel camera certificate chain, passing validation in Adobe Inspect and the CAI Verify tool with a verified timestamp. The author, working with UMBC's PASAWG working group, reported to Google and C2PA in November 2025 that root access on a Pixel device could sign arbitrary images as camera captures; after 90 days without resolution, details were published. The finding undermines C2PA Assurance Level 2 claims made for Pixel 10 Content Credentials.

Lobsters · securitySep 16, 13:24 UTC · 16h agoResearch

ENISA: Frontier AI Is Changing the Speed of Cyberattacks. Europe Needs to Catch Up

ENISA warns frontier AI compresses attack lifecycles to minutes, with exploits possible within 15 minutes of disclosure and median 72-minute breach-to-exfiltration times.

ENISA's July 2026 paper 'ENISA's view on Cybersecurity in the Frontier AI Era' argues AI-assisted attackers may weaponize vulnerabilities within 15 minutes of disclosure and achieve initial-access-to-data-exfiltration in a median 72 minutes, creating a 'negative time-to-exploit' problem. The report cites one organisation whose CVE volume rose from roughly 80 in Q1 2025 to almost 500 in Q1 2026, then about 500 reports per day when frontier-AI tools were used. ENISA recommends machine-speed defence under 'Cybersecurity as Code', EPSS and VEX-based prioritisation, AI-assisted incident response with human oversight, and an assume-breached architecture.

Security AffairsSep 14, 20:35 UTC · 2d agoAdvisory

Siemens Reyrolle 7SR5

CISA advisory covers 14 vulnerabilities, CVSS 9.8, in Siemens Reyrolle 7SR5 energy-sector protection relays before V2.70.

CISA advisory ICSA-26-258-05 covers 14 vulnerabilities in Siemens Reyrolle 7SR5 protection relays before V2.70, used in the energy sector worldwide, with aggregate CVSS v3 of 9.8. Flaws include Cesanta Mongoose web server issues (CVE-2024-42384 through CVE-2024-42392) and new bugs such as web-interface session-ID exposure enabling authentication bypass (CVE-2026-62645, CVSS 9.8), predictable session tokens (CVE-2026-62646, CVE-2026-62647), and pre-auth out-of-bounds writes (CVE-2026-62648). Siemens has released V2.70 and recommends updating to the latest version.

CISA AdvisoriesSep 15, 12:00 UTC · 1d agoAdvisory CVE-2024-42384 CVE-2024-42385 CVE-2024-42386+11 CVEs

Digital Watchdog VMAX DVR and NVR Product Lineups

CISA advisory details six flaws, aggregate CVSS 9.6, giving attackers full control of Digital Watchdog VMAX DVR/NVR surveillance devices.

CISA advisory ICSA-26-258-01 discloses six vulnerabilities affecting all versions of Digital Watchdog VMAX A1 G4 DVRs, VMAX IP G4 NVRs, VMAX A1 PLUS, VA1G4, and VG4 recorders, with aggregate CVSS v3 of 9.6. Flaws include an authentication bypass leaking plaintext admin credentials (CVE-2026-68953), hard-coded credentials enabling root FTP access (CVE-2026-66890, CVE-2026-68950), root command execution (CVE-2026-68070), missing authorization on state-changing CGIs (CVE-2026-66887), and predictable session tokens (CVE-2026-66372). Successful exploitation grants full administrative control, live and recorded surveillance access, and a network pivot point. Products are deployed worldwide across commercial facilities, government, healthcare, and transportation sectors.

CISA AdvisoriesSep 15, 12:00 UTC · 1d agoAdvisory CVE-2026-68953 CVE-2026-66890 CVE-2026-68070+3 CVEs

35 Actionable Password Statistics for Businesses in 2026 | Huntress

Huntress compiles 2026 password statistics showing 94% of 19 billion leaked passwords were reused and 37% of identity threats used stolen credentials.

Huntress published a compilation of password security statistics drawing on sources including Cybernews, Verizon's 2026 DBIR, IBM, and Bitwarden. Cybernews found 19 billion exposed passwords from roughly 200 incidents between April 2024 and April 2025, with only 6% unique and 94% reused across accounts. Huntress telemetry reports 37% of identity-based threats in 2026 involved stolen or suspicious credentials, while Verizon cites credential abuse in 39% of breaches. The piece argues weak and reused passwords remain a top entry point and recommends improved password hygiene.

HuntressSep 10, 13:00 UTC · 6d agoIndustry

CareCam CM2507

CISA advisory: seven flaws in CareCam CM2507 IP cameras enable unauthenticated live video access, privileged ONVIF control, credential recovery, and code execution.

CISA advisory ICSA-26-258-08 discloses seven vulnerabilities in CareCam HMT.CM2507 IP cameras running firmware v251211.1507. Issues include missing authentication for network video streaming (CVE-2026-88259, CVSS 3.1 7.5), an empty password on a privileged ONVIF account (CVE-2026-84398), weak legacy hashing of the root password (CVE-2026-85497, CVSS 4.0 9.3 critical), and cleartext storage of Wi-Fi credentials (CVE-2026-81321). Physical-access flaws allow arbitrary code execution from scripts on removable media (CVE-2026-81305) and unauthenticated bootloader access (CVE-2026-85478). The cameras are deployed worldwide in commercial facilities.

CISA AdvisoriesSep 15, 12:00 UTC · 1d agoAdvisory CVE-2026-88259 CVE-2026-84398 CVE-2026-84400+4 CVEs

Exclusive: Paying for frontier AI models buys 4-month head start at 5x the cost

Mozilla report finds the capability gap between best open-weights (largely Chinese) and closed frontier AI models narrowed to 4.4 months at ~5x lower cost.

Mozilla's State of Open Source AI report (September 15) says the gap between closed frontier models and best open-weights models has closed to 4.4 months. Moonshot AI's Kimi K3 scores three points behind Anthropic's Fable 5 on the Artificial Analysis Intelligence Index at 30% of the cost, and Z.ai's GLM 5.2 scored within a point of Claude Opus 4.7 on Terminal-Bench 2.1. Eight of the top 10 OpenRouter models by August 2026 token volume provide open weights, though a Linux Foundation paper found open models earned only 4% of revenue. The report recommends open models as the default for routine workloads, reserving closed models for 8-12 hour expert tasks.

Ars Technica · AISep 15, 12:00 UTC · 1d agoAI industry1

Reward AI Releases OM-1: A Robot Policy Trained on Human Demonstrations Only, With No Teleoperation or On-Robot Data

Reward AI released OM-1, a general-purpose manipulation policy trained solely on human demonstrations from a sensorized glove, with no teleoperation or robot data.

Reward AI announced OM-1 (Omnibody Model 1), a general-purpose robot manipulation policy trained only on human demonstrations captured via Omnibody Hand, a 7-DoF wearable glove with tactile, proximity, and in-hand camera sensing. The system uses electromagnetic hand-pose tracking, cutting mean overshoot error to 9.5 mm versus 24.9 mm for visual-inertial at 67 cm/s (a 60% reduction), and reportedly learns brand-new tasks from under 30 minutes of human data. A separate RL-trained control layer runs on its own clock so policy inference latency never stalls motion, and the policy spans industrial arms, legged humanoids, and wheeled mobile manipulators. No weights, code, dataset, API, paper, or benchmark comparisons have been released, so claims are demonstration-backed only.

MarkTechPostSep 14, 21:08 UTC · 2d agoAI research

Who's governing your AI? A trust framework for enterprise agents and models

DigiCert pitches AI Trust framework using PKI, DNS policy records and workload identity to govern shadow AI agents across enterprises.

The Register-sponsored piece outlines DigiCert's AI Trust framework for governing AI agents, built on PKI, DNS, and attestation, citing IBM's 2026 Cost of a Data Breach report that 68% of organizations lack AI governance or shadow AI detection. The approach treats agent identity as workload identity aligned with IETF WIMSE, NIST CSF 2.0, and SPIFFE/SPIRE, using short-lived credentials instead of static API keys. DigiCert also proposes DMARC-style DNS agent policy records and an AI Agent Passport cryptographically binding agent identity to approved operations, with a unified kill switch.

The Register · SecuritySep 15, 15:00 UTC · 1d agoAI safety & security1

Due to concerns about malicious applications, GPT2 will not be released (2019)

OpenAI's landmark 2019 GPT-2 post withheld the full 1.5B-parameter model over misuse concerns, releasing only a smaller variant and paper.

OpenAI announced GPT-2, a 1.5-billion-parameter transformer language model trained on 8 million web pages (40GB of text), achieving state-of-the-art zero-shot results including 70.70% on Winograd Schema and 63.24% on LAMBADA. Citing concerns about malicious applications such as scalable synthetic disinformation, OpenAI declined to release the trained model and instead published a smaller model and a technical paper as a 'responsible disclosure' experiment. The post, resurfaced on Hacker News in 2026, also documents failure modes like repetition and world-modeling errors, and discusses policy implications of controllable text generation.

Hacker News · AISep 13, 23:11 UTC · 3d agoAI safety & security HN 44↑ · 19 comments