Efficient and Optimal Learning of Discrete Distributions with Person-Level Privacy
We study learning a discrete distribution under person-level differential privacy in the batched setting. Given $n$ user
2026-10-23 归档
今日共收录 1236 条安全情报，包含 262 个 CVE，575 篇安全通告，以及 100 篇研究论文。
← 返回归档列表Homomorphic Encryption with Coset Code Construction
Homomorphic encryption enables computation on input data without decrypting it. This paper extends a construction based
Auditing the Hand-Written Inputs of Learned Access Control
Learned access control is typically deployed behind two hand-built artefacts: a hard-deny set enforced by a small truste
Practical Auditing of Differentially Private Graph Release Mechanisms: Methodology, Toolkit, and Case Study
Differential Privacy (DP) has become a prominent approach for protecting graph data releases, yet empirical auditing met
Structural cryptanalysis of classic McEliece: Assessment of claims, costs and evidence
For the last two years, classical structural attacks on McEliece with binary Goppa codes progressed further, at the para
BelT Block Cipher
BelT is a block cipher with a 128-bit block size and a 256-bit key, developed in Belarus and adopted as part of the Bela
Federated Differentially Private Optimization via Low-Rank Preconditioning
We consider differentially private (DP) optimization in the federated setting, where a DP estimate of the feature covari
ReDence: A Hybrid Agentic and Decision-Model Framework for Rapid, Evidence-Grounded Detection of Modern Social Engineering Scams
Detecting online social engineering (SE) scams often requires examining website workflows, verifying claims against exte
MIG-COW: Transferable Adversarial Attacks on Deepfake Detectors via Gradient Decomposition
Despite recent advances, deepfake detectors remain vulnerable to adversarial examples, particularly in diverse, real-wor
Can Loan Processors and Underwriters Spot AI-Edited Statements? An Empirical Study
AI-assisted editing can produce loan documents that preserve familiar issuer layouts while changing the applicant's iden
AgentTriage: Replayable Security Diagnosis Across Heterogeneous Agent Runtimes
When tool-use agents write files, execute code, or send data, their final responses do not explain the resulting securit
Scaling Laws for Safety Probes
Safety probes trained on a model's activations are a standard tool for monitoring language models in real time. Each tim
Temporal Liquidity Crossing for Blockchains: An EIP-1559 Extension for Admission Below the Base Fee
Transactions differ in how their value changes with execution time and relative position. Ethereum's EIP-1559 lets them
Bridging the Closed-World Gap: Interpretable Anomaly Detection via a Hybrid TSK-FCM Ensemble on the BETH Dataset
A fundamental paradox plagues the deployment of Machine Learning in cybersecurity: supervised models generalize poorly t
Membership Inference Attack on Private Evolution
Synthetic Data Generation (SDG) is an actively studied way to enable safe sharing of private data more broadly. Inferenc
Not Where You Think: Protecting Location Privacy Against Reasoning-Based Geolocation
Recent large reasoning models can infer where ordinary photos were taken using only visual information, creating a serio
HAWC-Leak: Heterogeneous Architecture Workload Classification utilizing Side-Channel Leakage
Modern heterogeneous computing platforms, which integrate general-purpose processors with specialized accelerators such
Rank Ceiling for Twiddle-Perturbation Faults on the Forward NTT
NIST standardised ML-KEM and ML-DSA in 2024 for post-quantum key establishment and digital signatures. Both compute forw
Who Patches the Lightning Network? Evidence from Release Lines in Gossip, 2023-2026
Every implementation of Bitcoin's Lightning payment network disclosed security vulnerabilities in 2026, and every adviso
Mirage: Targeted Jailbreaks Against Post-Generation Safety Checkers in Multimodal Diffusion Models
Post-generation safety checkers are widely employed in diffusion-model pipelines to prevent unsafe generated content fro