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  1. AI Security via arXiv cs.CR

    Certified Corruption Budgets: Anytime-Valid Leaderboard Claims under Adaptive Rigging

    arXiv:2610.10597v1 Announce Type: new Abstract: Public leaderboards for AI models are read continuously, and attackers can see every published standing. Vote rigging…

  2. AI Security via arXiv cs.CR

    From Investigation Failures to Reliable SOC Agents: Understanding and Improving LLM-Based Alert Triage

    arXiv:2610.10608v1 Announce Type: new Abstract: Security operations centers (SOCs) must triage large volumes of alerts, most of which are benign, while missed attacks…

  3. Threat Intel via arXiv cs.CR

    PyCache Trap: The Inspection-Execution Gap in Agent Skill Scanners

    arXiv:2610.10612v1 Announce Type: new Abstract: Agent skills combine instructions with executable resources, giving third-party packages access to an agent's runtime…

  4. Vulnerabilities via arXiv cs.CR

    MRCert: Towards Post-deployment Patch Robustness Certification for Adversarially Patched Samples via Type-specific Masking

    arXiv:2610.10617v1 Announce Type: new Abstract: In post-deployment time, inputs to deep learning models may or may not be adversarially patched. Patch robustness…

  5. AI Security via arXiv cs.CR

    When AI Finds Hidden Messages, Does It Report?

    arXiv:2610.10620v1 Announce Type: new Abstract: When an assistant encounters a message for another AI, does it tell its user? Four fixed model-provider deployments…

  6. AI Security via arXiv cs.CR

    Safe at One Loop, Risky at Another: Aligning Safety Across Recurrent Depths in Looped Language Models

    arXiv:2610.10625v1 Announce Type: new Abstract: Looped Language Models (LoopLMs) provide a parameter efficient approach to scaling model capabilities through repeated…

  7. Vulnerabilities via arXiv cs.CR

    SoK: Failure Modes in Common Criteria Product Evaluation - A Taxonomy and Design-for-Evaluability Guidance

    arXiv:2610.10644v1 Announce Type: new Abstract: The Common Criteria (CC; ISO/IEC 15408) is the principal international framework for evaluating the security of IT…

  8. AI Security via arXiv cs.CR

    DITTO: A Context-aware Pickle-based Pre-Trained Model Scanner for Effective Security Audits

    arXiv:2610.10735v1 Announce Type: new Abstract: Pre-trained models (PTMs) are widely distributed as serialized binaries, but their reuse often exposes software supply…

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  10. AI Security via arXiv cs.CR

    BRANCH: Bypassing Multi-Scanner AI Guardrails

    arXiv:2610.10742v1 Announce Type: new Abstract: AI systems increasingly rely on Large Language Models (LLMs) as core reasoning engines, making them targets for prompt…

  11. AI Security via arXiv cs.CR

    Detection-Guided Adaptive Purification with Diffusion Models for Robust Audio Deepfake Detection

    arXiv:2610.10752v1 Announce Type: new Abstract: Audio deepfake detectors remain vulnerable to adversarial perturbations that suppress the acoustic cues used for…

  12. Vulnerabilities via arXiv cs.CR

    CPU-Auth: Device Fingerprinting for Authentication via DVFS Side-Channel

    arXiv:2610.10766v1 Announce Type: new Abstract: Lack of effective authentication has resulted in numerous security and privacy breaches, including unauthorized access to…

  13. Vulnerabilities via arXiv cs.CR

    When Flaws Cascade: Understanding Vulnerabilities and Exploitation Chains in JavaScript Engines

    arXiv:2610.10844v1 Announce Type: new Abstract: JavaScript engines are pivotal to modern web browsers, enabling the execution of dynamic and interactive web…

  14. AI Security via arXiv cs.CR

    Power Side-Channel Membership Inference Attack on Embedded Machine Learning

    arXiv:2610.10909v1 Announce Type: new Abstract: Membership inference attacks (MIAs) threaten the privacy of machine learning (ML) training data by determining whether a…

  15. AI Security via arXiv cs.CR

    Speedbumps: Rejection Attacks on Speculative Decoding

    arXiv:2610.10929v1 Announce Type: new Abstract: Speculative decoding is a popular technique for increasing the speed and reducing the costs of large language model (LLM)…

  16. AI Security via arXiv cs.CR

    The Hint Weight of ML-DSA Signatures Is Key-Dependent: An Empirical Study across the Three FIPS 204 Parameter Sets

    arXiv:2610.10992v1 Announce Type: new Abstract: Every ML-DSA (FIPS 204) signature carries a public hint vector h. We find that the Hamming weight of each hint polynomial…

  17. AI Security via arXiv cs.CR

    NOMOS: Compiling Written Policies into Statically Verified Tool-Call Gates for LLM Agents

    arXiv:2610.11030v1 Announce Type: new Abstract: Tool-using LLM agents violate the policies they are deployed to enforce, often silently. Prior defenses hand-write rules…

  18. Threat Intel via arXiv cs.CR

    Accelerating HQC for Post-Quantum TLS 1.3 on x86 IoT Gateways

    arXiv:2610.11107v1 Announce Type: new Abstract: Post-quantum TLS at an IoT gateway must protect many device connections without large increases in handshake delay, CPU…

  19. AI Security via arXiv cs.CR

    False Claims, Credible Images: A Red-Teaming Benchmark for Commercial Image Generators

    arXiv:2610.11112v1 Announce Type: new Abstract: Image-generation models can now produce text-rich, natural-looking visual artifacts that are hard to distinguish from…

  20. AI Security via arXiv cs.CR

    Characterizing Statistical Separability in TP-CRIV for Probabilistic AI Models

    arXiv:2610.11163v1 Announce Type: new Abstract: Third-party challenge-response identity verification (TP-CRIV) enables an independent verifier to assess whether a…

  21. AI Security via arXiv cs.CR

    BRACE: Differential Privacy for Dense Associative Memory with LSR Energy

    arXiv:2610.11218v1 Announce Type: new Abstract: Dense associative memory (DAM) provides an energy-based framework for memory retrieval with close connections to…