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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
Leveraging Layout-based Effects for Locking Analog ICs
Muayad J. Aljafar, Florence Azais, Marie-Lise Flottes, Samuel Pa · 2022-09-05 · via cs.CR updates on arXiv.org

While various obfuscation methods exist in the digital domain, techniques for protecting Intellectual Property (IP) in the analog domain are mostly overlooked. Understandably, analog components have a small footprint as most of the surface of an Integrated Circuit (IC) is digital. Yet, since they are challenging to design and tune, they constitute a valuable IP that ought to be protected. This paper is the first to show a method to secure analog IP by exploiting layout-based effects that are typically seen as undesirable detractors in IC design. Specifically, we make use of the effects of Length of Oxide Diffusion and Well Proximity Effect on transistors for tuning the devices' critical parameters (e.g., gm and Vth). Such parameters are hidden behind key inputs, akin to the logic locking approach for digital ICs. The proposed technique is applied for locking an Operational Transconductance Amplifier. In order to showcase the robustness of the achieved obfuscation, the case studied circuit is simulated for a large number of key sets, i.e., >50K and >300K, and the results show a wide range of degradation in open-loop gain (up to 130dB), phase margin (up to 50 deg), 3dB bandwidth (approx. 2.5MHz), and power (approx. 1mW) of the locked circuit when incorrect keys are applied. Our results show the benefit of the technique and the incurred overheads. We also justify the non-effectiveness of reverse engineering efforts for attacking the proposed approach. More importantly, our technique employs only regular transistors and requires neither changes to the IC fabrication process nor any foundry-level coordination or trust.