Power Side-Channel Membership Inference Attack on Embedded Machine Learning
Membership inference attacks (MIAs) threaten the privacy of machine learning (ML) training data by determining whether a
2026-10-11 归档
今日共收录 1127 条安全情报，包含 372 个 CVE，412 篇安全通告，以及 88 篇研究论文。
← 返回归档列表When Flaws Cascade: Understanding Vulnerabilities and Exploitation Chains in JavaScript Engines
JavaScript engines are pivotal to modern web browsers, enabling the execution of dynamic and interactive web application
CPU-Auth: Device Fingerprinting for Authentication via DVFS Side-Channel
Lack of effective authentication has resulted in numerous security and privacy breaches, including unauthorized access t
Detection-Guided Adaptive Purification with Diffusion Models for Robust Audio Deepfake Detection
Audio deepfake detectors remain vulnerable to adversarial perturbations that suppress the acoustic cues used for detecti
Receiver-Domain Behavioral Probing for Backdoor-Resilient Federated GPS Spoofing Detection in UAV Networks
Federated learning lets a UAV fleet train a shared GPS spoofing detector without raw receiver data leaving any aircraft,
The Economic Security of Exponential EIP-1559
We consider the problem of parameter selection for EIP-1559, a widely used gas pricing mechanism for blockchains. As opp
PairAudit: Guiding Human Review with Graph Tokens under Distribution Shift
Intrusion detectors can confidently misclassify attacks that were not seen during training. Human review can correct the
Collusion-Secure Semi-Quantum Secret Sharing Scheme using a Quantum Third Party
The security of a secret sharing protocol is compromised if one or more dishonest participants can reconstruct the secre
BetweenCut: Private Heavy-Node Classification with Doubly Logarithmic Error in Tree Height
Finding heavy nodes in a tree---those whose counts exceed a given threshold---is a building block for analysis and learn
Efficient Provably Private Classification with a Tabular Foundation Model
Tabular data underpin prediction and decision-making in medicine, finance, government and science, but often contain sen
Defining Purpose-Limited Secrets
A cryptographic secret is issued for a purpose but grants a capability, and the capability is usually larger: a decrypti
CYBERFORT: A Compliance-Chain Platform Operationalising the Cyber Resilience Act for SMEs
The EU Cyber Resilience Act (CRA) turns product cybersecurity into a lifecycle compliance obligation for manufacturers,
Defensive Sufficiency in a Stackelberg Model of AI Security
Feedback from automated testing, human red teaming, and incident response can strengthen an AI system's defenses when di
Safe at One Loop, Risky at Another: Aligning Safety Across Recurrent Depths in Looped Language Models
Looped Language Models (LoopLMs) provide a parameter efficient approach to scaling model capabilities through repeated u
Faster PMNS Multi-precision Multiplications Using Truncated Montgomery Technique
The Polynomial Modular Number Systems (PMNS) aim to represent elements of fields or rings of large characteristics using
Trust a Few: The Weakest Assumptions a Protocol Needs
Protocol verifiers check whether a protocol meets a security goal under stated trust assumptions, such as that a key is
Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data
Quantum kernel methods are leading candidates for a practical quantum advantage in machine learning, but assessing that
Black-Box Adversarial Patch Attacks on VLAs via Ancestor VLM Exploitation
Vision-Language-Action models (VLAs) are increasingly deployed in safety-critical physical environments, yet their adver
Understanding and Mitigating Token-Pruning-Induced Vulnerabilities in VLMs
Token-Pruning accelerates Vision-Language Models by removing redundant visual tokens, yet its safety implications remain
When AI Finds Hidden Messages, Does It Report?
When an assistant encounters a message for another AI, does it tell its user? Four fixed model-provider deployments perf