Security & Cryptography · Computer Science & AI
Cryptography & Security
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1,372 papers, from 4 September 2026 to 5 November 2026: 1,372 arXiv preprints.
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Newest papers, page 42
Does the Readout Bypass Leak the Input? A Feature-Visibility Audit of Hybrid Quantum-Classical Models
Readout-side residual hybrids concatenate raw inputs with measured quantum features.Anchor-ECC: Local Integrity Checking for Watermarked LLM Outputs via Error-Correcting Codes
LLM watermarking has become an effective approach to distinguishing AI-generated text from human-written text by embedding detectable patterns during generation.SparLeak: Privacy Leakage from Sparse Attention in LLM Inference on Shared GPUs
Sparse attention is widely used to accelerate long-context inference in modern large language models (LLMs), but its input-dependent execution behavior introduces previously unexplored privacy risks.Quantum Time-Lock Puzzles in the Quantum Random Oracle Model
A time-lock puzzle allows a sender to hide a message in a puzzle such that recovering the message requires substantially more sequential computation than the time required to generate the puzzle…SceneJail: Exploiting Video Scenario Context to Jailbreak Multimodal LLMs
Video Multimodal Large Language Models (Video-MLLMs) support reasoning over video inputs, yet remain vulnerable to jailbreak attacks that elicit policy-violating responses.Semi-Quantum Cryptography with Certified Deletion
Certified deletion allows a client to upload encrypted data to a server as a quantum state, then later request that the server delete their data and detect whether the server complies.PrivCert: Certifying Statement Support under Differential Privacy
Differentially private (DP) text generation can protect individual records, but privacy alone does not specify what evidence a released statement carries about the underlying data.Tight Post-Quantum Parallel Repetition for Private-Coin Arguments
We show that assuming the existence of homomorphic encryption, parallel repetition of all interactive arguments (after being run under homomorphic encryption) reduces the soundness error at a tight…Certified Randomness with Optimal Rate
The generation of certified random bits is an emerging near-term application of quantum computers.APTInvestBench: Evaluating Autonomous APT Investigation under Varying Telemetry
Large language model (LLM) agents could help security operations centers (SOCs) investigate advanced persistent threats (APTs) by turning weak leads into evidence for intrusion scoping and response.Refusals That Bend: Measuring and Predicting Task Malleability in Embodied VLM Planners
Embodied vision-language models (VLMs) are increasingly deployed as high-level planners for robots because they generalize across diverse environments.Approval Laundering: Systematizing Approval--Execution Binding Failures in AI Coding-Agent Harnesses
Modern AI coding-agent harnesses (Claude Code, Codex CLI, Cursor) rest their security boundary on a largely unexamined assumption: that the action A a human approves is the same action A' the…Anchoring Adversarial Trajectories to Data Manifolds: A Bilevel Transfer Optimization Framework
A key bottleneck in adversarial transfer is a trajectory-level geometric disconnect: ambient gradients often drift away from the intrinsic data manifold, causing surrogate-specific overfitting.Covert Assistance: Helpful LLM Agents Evade Oversight in Multi-Agent Systems
As multi-agent systems enter high-stakes domains, the possibility that agents may circumvent safety boundaries is a growing concern.Can Agents Trust Their Skills? Uncovering Unsafe Chains of Trust in Skill-Based LLM Agents
LLM agents increasingly rely on installable skills, which are packages of instructions, code, and resources that equip them with task-specific capabilities and, once installed, can be automatically…RAGScope: A Leakage-Controlled, Cost-Aware Evidence-Gating Protocol for RAG Hallucination Triage
Retrieval-augmented generation (RAG) systems need inexpensive ways to route generated answers: accept low-risk outputs, review uncertain ones, and reserve strong verifiers for the expensive tail.Exploiting Vulnerabilities: Universal Adversarial Attacks on Vision-Language-Action Models in Robotics
Recently, Vision-Language-Action (VLA) models have revolutionized robotic manipulation by seamlessly integrating visual perception, language understanding, and action generation in an end-to-end…MultiTable: A Faster Hash Table at any Physical Load Factor up to and Including One
We present \emph{multitable} and its Rust reference implementation: a stable hash table both materially faster at equal physical memory and more flexible than the SwissTable in its Rust's hashbrown…Breaking the Bounded Entanglement Barrier for Quantum Position Verification
Position verification, introduced by Chandran et al. (SIAM J. Computing 2014), allows verifiers to test a prover's claimed position by an interactive protocol.Faithful Dual-constrained Erasure for Robust LLM Safety Alignment
Machine unlearning has emerged as a crucial mechanism for removing hazardous knowledge and enforcing safety alignment in Large Language Models (LLMs).