Secret Sharing from Non-Extractable Randomness
Bosley and Dodis (TCC 2007) proved that a class of imperfect randomness sources that suffices for information-theoretic
2026-10-16 归档
今日共收录 833 条安全情报，包含 0 个 CVE，434 篇安全通告，以及 100 篇研究论文。
← 返回归档列表FreeSBee: A Constant-Time Compilation Pipeline
Constant-time execution is an important security property, especially for IoT devices, that prevents the leakage of sens
GeoCloak: An Agentic Framework for Semantics-Preserving Geolocation Privacy via Peripheral Clue Manipulation
The rapid advancement of large vision language models (LVLMs) has made geolocation inference from images highly accurate
CoRedSkill: Stealthy Skill Composition Attacks via AST-Guided Injection
Agents extend their capabilities through reusable skills that package instructions, executable code, and resources. Comp
Quiet Triggers, Loud Footprints: A Tri-Space Measurement Study of Backdoor Stealthiness
Backdoor attacks on deep neural networks are commonly evaluated by attack success rate and benign accuracy, yet their st
Bilinear Compressive Security with Finitely Many Samples
Bilinear Compressive Security (BCS) is a lightweight encryption scheme that combines compressed sensing with a fresh ran
Lost in the Fallback: How Reliably Do Typed Decision Models Use Fallback Options?
Typed decision models (TDMs) are increasingly used in applications such as request routing and model selection, making r
Global and Local Entropy Tests for STL Files Under IEEE-754 Validity Constraints
Shannon entropy is a standard measure of ciphertext randomness, evaluated either globally over the byte histogram of the
DarKnight: Retrieval-Guided Agentic Framework for Breaking Dark Web CAPTCHA Gates
Cyber Threat Intelligence (CTI) investigators who monitor dark web marketplaces for leaked credentials and breach listin
Adaptive and Proximal Federated Optimization for Transferable Network Intrusion Detection
Network Intrusion Detection Systems (NIDS) based on deep learning often fail to detect attack classes that are absent fr
Analyzing and Mitigating Poisoning Attacks on Flow-Based Intrusion Detection
Although Artificial Intelligence (AI)-based Intrusion Detection Systems (IDSs) are increasingly deployed in operational
No Way To Steal My Face: Proactive Defense Against Identity-Preserving Personalized Generation
Recent advances in diffusion models have enabled high-fidelity, identity-preserving image generation for personalized ap
Hybrid DeepXAI Fusion Network for Interpretable Big Data Analytics and Secure Cloud Decision-Making Systems
Big data analytics supports modern intelligent systems, but model complexity and limited transparency can undermine inte
MMA-SafetyBench: A Benchmark for Multimodal Agent Safety Evaluation
Multimodal agents increasingly rely on visual interfaces to perceive state and select actions, creating an attack surfac
Empirical Evaluation of Machine Learning for Cloud Cryptojacking Detection: Effects of Preprocessing and Evaluation Protocols
Artificial intelligence (AI) has been widely applied to cloud cryptojacking detection. Classical machine learning models
Differentially Private Learning of Markov Chains: Near-Optimal Sample Complexity for Item and User Level Privacy
Sequential data such as documents, conversations, and trajectories are naturally partitioned across users, motivating pr
AutoPoly-HE: Autonomous Design of Polynomial Activations for Privacy-Preserving Encrypted Inference
Privacy-preserving machine learning has become critical for deploying artificial intelligence in sensitive domains such
Unmasking the Secret Code: Using Canaries to Show How Masked Context Controls Memorization in SFT
Canaries, or synthetic training records containing known secrets, are widely used to assess whether language models reve
TrackShield: An Efficient Runtime Defense Against Availability Attacks on High-Performance Real-Time Multi-Object Tracking
High-performance camera-based perception pipelines must sustain per-frame real-time budgets on resource-constrained embe
Beyond Maliciousness: Static and Runtime Attack-Surface Profiling of Agent Skills
Agent skills are Markdown documents that a tool-using agent reads as instructions and then acts on with the privileges o