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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
Do (Not) Tell Me About My Insecurities: Assessing the Sta...
[Submitted on 24 Jun 2026] · 2026-06-25 · via cs.CR updates on arXiv.org

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Abstract:In our increasingly interconnected world, good IT security practices are necessary to prevent vulnerabilities and data breaches. Providing security contacts, e.g., via Coordinated Vulnerability Disclosure (CVD) programs or this http URL files, is an important practice for businesses to facilitate vulnerability reporting by external parties. As part of a longitudinal study, we analyzed the adoption of, as well as the challenges and experiences with, CVD programs among the 40 companies listed on Germany's DAX (the country's primary stock market index). In addition to monitoring publicly available information about their CVD programs, we sent out questionnaires via email and postal mail in 2023 and 2025, and received answers from 20\% of the companies. The adoption rates show a significant increase from 50\% (2023) to over 90\% (2025), with ten new CVD programs and 25 new this http URL files now available. The survey answers reveal that, for example, legal obligations (e.g., NIS2 and CRA) drive the adoption of CVD practices, but a lack of (human) resources and varying report quality are considered drawbacks. As the first study to survey 40 German stock market index (DAX) companies on their CVD practices, our results can help foster the adoption and understanding of security programs among SMEs and other companies, and provide policymakers with insights into practical challenges and industry experiences.

Submission history

From: Sebastian Neef [view email]
[v1] Wed, 24 Jun 2026 15:25:45 UTC (183 KB)