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cs.CR updates on arXiv.org

Agentic Vulnerability Reasoning on Windows COM Binaries From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems Token-Efficient Change Detection in LLM APIs Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification Trident: Improving Malware Detection with LLMs and Behavioral Features When Alignment Isn't Enough: Response-Path Attacks on LLM Agents RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards Behavioral Canaries: Auditing Private Retrieved Context Usage in RL Fine-Tuning FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Text Steganography with Dynamic Codebook and Multimodal Large Language Model An AI Agent Execution Environment to Safeguard User Data TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Symbolic Guardrails for Domain-Specific Agents: Stronger Safety and Security Guarantees Without Sacrificing Utility Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata Filtering QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation One Word at a Time: Incremental Completion Decomposition Breaks LLM Safety Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
Systematic Evaluation of Randomized Cache Designs against...
Anirban Chakraborty, Nimish Mishra, Sayandeep Saha, Sarani Bhatt · 2023-10-08 · via cs.CR updates on arXiv.org

Randomizing the address-to-set mapping and partitioning of the cache has been shown to be an effective mechanism in designing secured caches. Several designs have been proposed on a variety of rationales: (1) randomized design, (2) randomized-and-partitioned design, and (3) psuedo-fully associative design. This work fills in a crucial gap in current literature on randomized caches: currently most randomized cache designs defend only contention-based attacks, and leave out considerations of cache occupancy. We perform a systematic evaluation of 5 randomized cache designs- CEASER, CEASER-S, MIRAGE, Scatter-Cache, and Sass-cache against cache occupancy wrt. both performance as well as security. With respect to performance, we first establish that benchmarking strategies used by contemporary designs are unsuitable for a fair evaluation (because of differing cache configurations, choice of benchmarking suites, additional implementation-specific assumptions). We thus propose a uniform benchmarking strategy, which allows us to perform a fair and comparative analysis across all designs under various replacement policies. Likewise, with respect to security against cache occupancy attacks, we evaluate the cache designs against various threat assumptions: (1) covert channels, (2) process fingerprinting, and (3) AES key recovery (to the best of our knowledge, this work is the first to demonstrate full AES key recovery on a randomized cache design using cache occupancy attack). Our results establish the need to also consider cache occupancy side-channel in randomized cache design considerations.