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cs.CR updates on arXiv.org

On the Security of Research Artifacts SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety 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 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
Byzantine-Secure Relying Party for Resilient RPKI
Jens Friess, Donika Mirdita, Haya Schulmann, Michael Waidner · 2024-05-01 · via cs.CR updates on arXiv.org

To protect against prefix hijacks, Resource Public Key Infrastructure (RPKI) has been standardized. To enjoy the security guarantees of RPKI validation, networks need to install a new component, the relying party validator, which fetches and validates RPKI objects and provides them to border routers. However, recent work shows that relying parties experience failures when retrieving RPKI objects and are vulnerable to attacks, all of which can disable RPKI validation. Therefore even the few adopters are not necessarily secure. We make the first proposal that significantly improves the resilience and security of RPKI. We develop BRP, a Byzantine-Secure relying party implementation. In BRP the relying party nodes redundantly validate RPKI objects and reach a global consensus through voting. BRP provides an RPKI equivalent of public DNS, removing the need for networks to install, operate, and upgrade their own relying party instances while avoiding the need to trust operators of BRP nodes. We show through simulations and experiments that BRP, as an intermediate RPKI service, results in less load on RPKI publication points and a robust output despite RPKI repository failures, jitter, and attacks. We engineer BRP to be fully backward compatible and readily deployable - it does not require any changes to the border routers and the RPKI repositories. We demonstrate that BRP can protect many networks transparently, with either a decentralized or centralized deployment. BRP can be set up as a network of decentralized volunteer deployments, similarly to NTP and TOR, where different operators participate in the peering process with their node, and provide resilient and secure relying party validation to the Internet. BRP can also be hosted by a single operator as a centralized service, e.g., on one cloud or CDN, and provides RPKI validation benefits even when hosted on a single network.