
PyPI adds security tab for release attestations
Developers can review digital attestations and provenance status for every release file on project pages.
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Developers can review digital attestations and provenance status for every release file on project pages.
KeHoSu encodes attribution in homoglyph variants over copy-paste channels, surviving reordering and partial quotes for accurate platform and account attribution.
PIC and COSS generalize security-state continuity over causal execution graphs, proving authority cannot be resurrected across branches.
The paper introduces Proof of Relationship alongside PoP, using causal histories to classify executors and prove authorization is occurrence-sensitive.
Red-Green Sequence watermarks enable accurate population-level frequency estimation while limiting individual privacy leakage.
Introduces Launder-Bench with 1,128 pairwise and 229 attribution instances to test provenance under agentic rewriting from 282 repositories.
At equal diversity and a 10^-3 false-positive rate, it detects 8 to 22 points more 100-token answers than TextSeal.
HAIDL-X middleware for JupyterLab stores prompts, responses, feedback, and provenance and derives behavior measures from traces.
On Cadets and Theia, comprehension-level context lifts Recall@5 by as much as 75 points versus Max. CSG.
Reconstructing the last signer’s edits from partial credentials improved detectors on images postprocessed by C2PA tools.
Tests use only the intrinsic dimension of generated images and assume unknown adaptations and model families.
A review of detector papers finds most provenance systems state no clock bound and trust stored evidence.
Fingerprints stay under 0.3 MiB and remain stable after fine-tuning, pruning, quantization, merging, and permutation.
On a real MCP testbed, 24 adaptive payloads succeeded 100% undefended and 0% with the proposed mechanism.
With SD3.5 across five datasets it averages 92.4% per-generation TPR at 1% FPR and mean ΔFID of 0.05.
On 120 cases it reports 0.858 grounded joint diagnosis and a 0.036 unsupported-claim rate.
With 32 bits in 300 tokens, authors report 90.01% extraction accuracy after paraphrasing while preserving text quality.
Flattening harnesses accept forged approvals 87-100% of the time, while four role-typed harnesses reject the same attack.
SRCoT is a local retrieve-reflect-revise pipeline for source-labeled LLM outputs, shown only in synthetic case studies.
Optimist Deep Research is an open-source iterative agent that audits literature search through a mutable evidence state.
On MPBench and LoCoMo, attack success was at least 77% below the strongest utility-preserving defense.
Provenance marks in leaked agent harnesses mostly fail when a self-evolving LLM rewrites the marked code.
WaveMark watermarks diffusion noise in the wavelet domain and keeps over 88% accuracy under removal attacks.
Co-Authored-By marked 66 of 121 AI-related commits in one repo and 1 of 39 agent-note commits in the other.
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