NOMAI: Scalable Federated Learning with Private Weights
The twin goals of privacy-preserving federated learning (FL) -- harnessing distributed data while protecting the parties
2026-10-18 归档
今日共收录 723 条安全情报，包含 0 个 CVE，397 篇安全通告，以及 78 篇研究论文。
← 返回归档列表SHIP: Structured and Hierarchical Insight with Privacy
Extracting insights from textual data while protecting user privacy is increasingly important. Existing methods produce
Can Autonomous Vehicles Keep Their Cool? A Survey of Thermal Side-Channel and Perception Attacks
Autonomous vehicles (AVs) couple safety-critical perception to thermally constrained compute. Interfaces built for night
Efficient Agnostic Learning of Univariate Densities Under Local Differential Privacy
We propose a general framework for non-interactive locally differentially private (LDP) learning of structured univariat
Practical wavelength selection for quantum-augmented networks over shared optical fiber
In a quantum augmented network, sharing optical fiber with classical traffic requires quantum wavelength selection to ba
Does Client Diversity Protect the Lightning Network? Evidence from the 2026 Core Lightning Shutdown
Client diversity is often cited as the Lightning Network's defence against a bug in any one implementation, yet LND runs
GhostLock: Learning-Assisted Blind GPS Signal Nullification Without Victim-Side Information
The Global Positioning System (GPS) provides critical positioning, navigation, and timing (PNT) services for numerous sa
Performance Characterization of Pulsar's Software-defined Watermark Verifier
Pulsar provides the world's most secure PNT service by incorporating a Combinatorial Watermark into its ranging service.
Privacy-Preserving Text Inference for Health-Misinformation Classification and Semantic Retrieval
Health-misinformation analysis presents a dual challenge: misleading claims can affect public well-being, while systems
Foundations of Hardware-Software Leakage Contracts
Microarchitectural attacks such as Spectre and Meltdown undermine security by exploiting software-visible side effects o
Prioritizing Microservice Requests via Retries
Cloud services rapidly shift towards independently-managed microservices architectures. This independence may lead to te
Quantum-Aware Key Rank for Side-Channel Attacks evaluation
Side-channel attacks on block ciphers rarely recover the key outright: they leave a residual key space ordered by subkey
Tulva: Practical Asynchronous Threshold FHE
We present Tulva, a practical threshold FHE scheme which equips a base FHE scheme with an asynchronous threshold decrypt
Phantomware: a Data Augmentation Framework for the Detection of Emerging Malware Campaigns
Detecting unseen malware variants remains a major challenge as malware families continuously evolve. This issue is exace
Counterfactual Neighborhood Risk Fields: Evidence-Grounded Selective Safety for Vision-Language Models
Representation-based safety defenses for vision-language models (VLMs) often learn to separate harmful from benign input
Building Sound Evaluation Practices for Rust-Based Security Frameworks
Background: Rust is a modern programming language known for its focus on usability, concurrency, and security. However,
Secret Sharing from Non-Extractable Randomness
Bosley and Dodis (TCC 2007) proved that a class of imperfect randomness sources that suffices for information-theoretic
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