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.
1,371 papers, from 4 September 2026 to 5 November 2026: 1,371 arXiv preprints.
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Newest papers, page 9
How Deterministic SAST and AI Security Agents Divide the Work: Coverage, Harness Policy and Cost in Snyk VulnBench 2.0
We ask what AI coding agents and AI security harnesses find that deterministic static application security testing (SAST) does not, and what they miss that SAST catches.Enhanced image forensics through partial C2PA-based provenance information
Cryptographically verifiable C2PA-based Content Credentials (CCs) can be attached to freshly acquired or generated digital images but also to already existing ones with no previous provenance…Complexity of Differentially Private Selection via Federated APIs
Differential privacy (DP) has become the standard for privacy-preserving data analysis, yet its practical implementation in federated or distributed settings often faces a significant utility gap…Trustworthy Distributed Machine Learning in Cloud-Edge-IoT Systems: A Heterogeneity-Aware Survey of Security, Privacy, and Robustness
Distributed machine learning (DML), including conventional distributed training and federated learning (FL), enables collaborative model development across cloud-edge-IoT systems without fully…CARI: Cross-Boundary Adversarial Runtime Injection in Coding-Agent Workflows
Coding agents increasingly develop, test, and integrate software whose components are owned by different developers, teams, or services.Where You Inject Matters: The Trust Region Effect in LLM Agents
LLM agents are increasingly adopted in long-horizon tasks and interact with diverse external environments.FlipJev: Fast Black-Box Red Teaming Finds Universal Adversarial Suffixes for Typed Decision Models
Typed decision models are an emerging class of language models that make decisions instead of generating free-text responses.DeepDiff: Neuro-Dynamic Regression-Freedom Checking for Security Patch Validation
Automatically validating AI-generated security patches remains a significant challenge.FGSM Attack Transferability from Simulation to Quantum Hardware in Network Intrusion Detection
Quantum computers are now available through cloud platforms, and recent work has proposed using them to detect network intrusions.What Victims Take Away: Attack Reuse and Defense Revision after Prompt-Injection Attacks
Attack logs and red-team reports show targets the attacks used against them, to help them repair their defenses.No Tokenizer, Still a Gap: Cross-Lingual Fairness of Homoglyph and Invisible-Character Watermarking
Homoglyph and invisible-character watermarks are edit-based watermarks.A Simple Presentation of Robust Membership Inference Attacks
In a membership inference attack, an attacker is given the data of a particular individual, and tries to determine if that individual was included in a particular dataset, given some kind of…Split Federated Unlearning
Split federated learning (SFL) combines partitioned model execution with federated aggregation to support collaborative learning across distributed Web and edge environments.FIDES-Live: Evaluating Behavioral Concordance in Sequential Trading Agents
Sequential trading agents produce decisions, orders, execution receipts, account states, and reports that need not agree, even when the final portfolio value is correctly computed.CASEL: Consequence-Aware Selective Execution for Reliable Long-Horizon Tool-Using Agents
Tool-using language agents increasingly modify external systems, yet most runtime safeguards allocate scrutiny by generic uncertainty scores or coarse mutation heuristics.Measuring Users' Security and Privacy Concerns About Third-Party Community Bots on Discord
Third-party community-based bots are central to how social platforms such as Discord work.Haste Makes Waste? Towards Safe Few-Step Text-to-Image Models
While few-step distilled text-to-image models have gained traction due to their fast generation times, the speed-up implications on their unsafe generation rates remain unknown.Quantifying and Prioritizing Stealthy Source-Manipulation Threats Against Multi-Source Anomaly Detectors
Security pipelines often fuse several data sources and protect a downstream model with a cross-source anomaly detector.RePAIR: Inverting Backdoor Attacks in Semantic Segmentation
Despite significant advances in computer vision, semantic segmentation models remain vulnerable to backdoor attacks, posing a security risk.Blindfold: Keeping the Audit Coin Secret from LLM Agents
Audit-based certification bounds the violation rate of an LLM agent by auditing a random fraction $\varepsilon$ of actions and reweighting the audited labels; its validity is meant to rest only on…