Security & Cryptography · Computer Science & AI
Cryptography & Security
The newest papers in Cryptography & Security that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
1,372 papers, from 4 September 2026 to 5 November 2026: 1,372 arXiv preprints.
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Newest papers, page 29
ECGWmark: Deep Watermarking for Electrocardiogram Signals
Secure transmission of electrocardiogram (ECG) signals remains a major challenge in telecardiology.APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces
Professional agents increasingly work through command-line interfaces and multiple tools over shared workspaces containing files, messages, and business applications.AI Models Can Provably Hide Arbitrary Capabilities
Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilities can be elicited.RoboFake: Are Deepfake Detectors Ready for Humanoid Face Robots?
Humanoid face robots can now move their lips in sync with speech and show detailed facial expressions.Natural Code Transformation Confuses Agents in Vulnerability Analysis
Having demonstrated a strong potential for automating vulnerability discovery, AI agents can also be used to attack software systems at scale.Tokenization-Invariant Watermarking: A Byte-Local Method for LLM Text
We introduce Tokenization-Invariant Watermarking (TI-WM), a method that embeds a watermark during token generation but keys and scores it on canonicalized UTF-8 bytes.DICE: Tilting the Odds through Interface Attackson System One Model
System One models offer typed judgments that applications can turn into decisions.NOMOS: Compiling Written Policies into Statically Verified Tool-Call Gates for LLM Agents
Tool-using LLM agents violate the policies they are deployed to enforce, often silently.Language Modeling is Monotone Compression
A long-standing hypothesis in artificial intelligence and neuroscience posits that intelligence is closely related to compression: the ability to compress information efficiently intuitively…False Claims, Credible Images: A Red-Teaming Benchmark for Commercial Image Generators
Image-generation models can now produce text-rich, natural-looking visual artifacts that are hard to distinguish from real-world evidence, such as news reports and textbook pages.Characterizing Statistical Separability in TP-CRIV for Probabilistic AI Models
Third-party challenge-response identity verification (TP-CRIV) enables an independent verifier to assess whether a claimant possesses a model identical to a remotely deployed model without directly…Skill Constellations: Tracing the Supply Chain of Agent Skills on GitHub
Agent skills are SKILL.md instructions and scripts that AI coding agents such as Claude Code and Codex run with the permissions of their user.BRACE: Differential Privacy for Dense Associative Memory with LSR Energy
Dense associative memory (DAM) provides an energy-based framework for memory retrieval with close connections to attention mechanisms in modern artificial intelligence.Adversarial Cues in Decision Models Used as Judges: The Role of Request Presentation
An answer judge instructed to grade the final commitment should reject an explicitly wrong final value even when an earlier value matches the reference.On-Chain Archaeology of Bitcoin Oracles: Evidence of Use under Limited Observability
Before Ethereum made the "oracle problem" a household term, Bitcoin already had oracles serving as feeds, key-release services, federated signers, and arbiters that carried real value on the main…GROB: A Multi-Agent Architecture for Public-Trace Investigation of Candidate Agentic Activity
We present GROB, a multi-agent architecture for investigating candidate autonomous-agent activity through public Internet traces when privileged telemetry is unavailable.Stop My Dancing! Understanding, Detecting and Attributing Motion-Aware Deepfake Videos
Pose-guided diffusion models can now synthesize entire human figures in motion, spawning a new class of deepfakes: Motion Aware Deepfake (MAD) that have already reached hundreds of millions of…Certifying Hidden Paths: Scalable Topology Assurance for QKD Networks
Large-scale Quantum Key Distribution (QKD) networks rely on trusted repeaters, making the security properties of the selected communication path an essential part of end-to-end assurance.SoK: Are LLMs Reliable at Source Code Recovery? A Taxonomy and Empirical Evaluation
Effective source recovery is critical to security applications such as malware analysis, vulnerability assessment, and legacy maintenance.Where Do the Tokens Go? Understanding and Reducing Costs in LLM Agents for Vulnerability Discovery
LLM agents can spend millions of tokens during vulnerability discovery without producing a working proof of concept (PoC).