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Cryptography & Security
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1,371 papers, from 4 September 2026 to 5 November 2026: 1,371 arXiv preprints.
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Newest papers, page 5
Black-Box Adversarial Example Attacks on Machine Learning based Election Systems
Machine learning models have shown exceptional accuracy for ballot classification in election systems.Threat Modeling Intimate Partner Abuse in Agentic Systems
Agentic systems are AI-powered technologies capable of autonomous action within digital environments, such as sending emails or making reservations.DERED: Enhancing Third-Party Library Detection in Binaries via Deceptive Reuse Mitigation
This paper introduces the concept of deceptive reuse a misleading reuse relationship between recipient software that share common TPL code and proposes a novel approach, DERED, to enhance TPL…Compressed Oracle Duality: A simple framework for knowing what quantum adversaries know
Given a quantum adversary that queries a random oracle, how do we characterize the information that they "know"?Adversarial Robustness Is Not Zero-Day Generalization: A Controlled Evaluation of Flow-Based Intrusion Detectors on Corrected CIC-IDS2017
Synthetic variants of known attacks, including feature-space adversarial perturbations, are sometimes used as stand-ins for unseen ("zero-day") attacks when evaluating machine-learning network…Constructing Budgeted KGW Evasion through Token-Event Evidence Replacement
KGW watermarks bias sampling to accumulate keyed detection evidence.Illusion: Safeguarding Topology Confidentiality in LLM Multi-Agent Systems via Behavior-Preserving Obfuscation
The communication topology of Large Language Model Multi-Agent Systems (LLM-MASs) governs how information propagates among agents and encodes critical domain knowledge and expert workflow design.Trouble With Time: Compile Timestamps and First-Seen Date Regression in EMBER2024
Reliable first-seen dates are important for constructing temporal malware evaluation splits, but this information often comes from external services that are not equally accessible to all researchers.VeilFL: Two-Stage Accountability for Anonymous Federated Learning
Anonymous credentials can hide which registered client participates in federated learning, but their unlinkability also makes repeated misconduct difficult to associate.Pop Goes the Verifier: Phoneme-Targeted Data Poisoning of Voice Liveness Detection
Many Automated Speaker Verification Systems (ASVs) commonly employ liveliness detection techniques, such as VoicePop, which identify genuine speech by analyzing low- frequency pop bursts from…What Must Be Done Here? Using a Bounded Application-Security Ontology at the Point of Change
The security guidance that bears on code is real but scattered.Side-Channel Attack Prevention for Post Quantum Cryptography Algorithms: A 3D-Shield Approach
Despite their theoretical quantum attack resistance, practical implementations of post-quantum cryptography (PQC) algorithms remain susceptible to side-channel attacks.Enhancing Edge AI System Security with a Stacked Hardware Security Controller for Robust and Energy-Efficient Anomaly Detectio
In recent years, the growing adoption of Edge AI systems has been accompanied by a surge in security threats.SHield: Watermarking 4D Gaussian Splatting via Spherical Harmonic Coefficient Perturbation
4D Gaussian Splatting (4DGS) models are computationally expensive to train but distributed as easily copied parameter files.Bilinear Hulls for Support Splitting: Characterization, Optimization, and Applications
Sendrier's Support Splitting Algorithm (SSA) is the standard solver for the Permutation Equivalence Problem (PEP); its cost is dominated by a term that grows exponentially in the hull dimension.J-Anchor: Defending Against Prefill Attacks via J-Space Selective Refusal Restoration
Prefill jailbreaks can cause safety-aligned language models to continue an unsafe assistant prefix even when they would refuse the same request under normal decoding.When AI Investigators Cannot Trust Their Tools: Conflict-Aware Evidence Verification for Cyber Threat Investigation
LLM agents increasingly triage security alerts by combining the outputs of several detection tools, implicitly treating those tools as trustworthy.ANGLER: Verifier-Grounded Benchmarking with an Adaptive Attacker for Web Agents
Web agents are increasingly deployed to complete tasks autonomously on real websites, where adversarially injected content can induce them to perform unauthorized actions.Erase the Injected Region: Multimodal Prompt-Injection Defense with On-Policy Self-Distillation
Multimodal indirect prompt injection embeds malicious instructions in external media that also contains information needed for the user's task.When Safety Checks Become Privacy Risks: A Privacy-Preserving Paradigm for LLM Agent Safety Auditing
Large language model agents interact with online services through tool calls that may access private data or perform sensitive actions.