PrivacyScore: Analyse von Webseiten auf Sicherheits- und Privatheitsprobleme -- Konzept und rechtliche Zulässigkeit

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT

LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injection

Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks

Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety

Red-Teaming Agent Execution Contexts: Open-World Security Evaluation on OpenClaw

Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents

From Specification to Deployment: Empirical Evidence from a W3C VC + DID Trust Infrastructure for Autonomous Agents

When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking

TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models

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

StegoStylo: Squelching Stylometric Scrutiny through Steganographic Stitching

CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks

Feedback Lunch: Learned Feedback Codes for Secure Communications

Noise Aggregation Analysis Driven by Small-Noise Injection: Efficient Membership Inference for Diffusion Models

A First Look at the Security Issues in the Model Context Protocol Ecosystem

Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems

MEASER: Malware embedding attacks on open-source LLMs

ADMIT: Few-shot Knowledge Poisoning Attacks on RAG-based Fact Checking

Fall into a Pit, Gain in a Wit: Cognitive-Guided Harmful Meme Detection via Misjudgment Risk Pattern Retrieval

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models

A2AS: Agentic AI Runtime Security and Self-Defense

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)

From surveillance to signalling: escalation channels as environmental controls for agentic AI

Quantitative Certification of Agentic Tool Selection

STAC: When Innocent Tools Form Dangerous Chains to Jailbreak LLM Agents

Fingerprinting LLMs via Prompt Injection

Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids

Guidance Watermarking for Diffusion Models

SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios

xOffense: An Autonomous Multi-Agent Framework for Penetration Testing with Domain-Adapted Large Language Models

Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities

Tell-Tale Watermarks for Explanatory Reasoning in Synthetic Media Forensics

Between a Rock and a Hard Place: The Tension Between Ethical Reasoning and Safety Alignment in LLMs

A Comprehensive Guide to Differential Privacy: From Theory to User Expectations

Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies

Unveiling Unicode's Unseen Underpinnings in Undermining Authorship Attribution

Searching for Privacy Risks in LLM Agents via Simulation

Exact Verification of Graph Neural Networks with Incremental Constraint Solving

SPRINT: Robust Model Attribution of Generated Images via Secret Pixel Reconstruction

Majority Bit-Aware Watermarking For Large Language Models

Coward: Collision-based OOD Watermarking for Practical Proactive Federated Backdoor Detection

Prompt to Pwn: Automated Exploit Generation for Smart Contracts

Activation-Guided Local Editing for Jailbreaking Attacks

Random Walk Learning and the Pac-Man Attack

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation

White-Basilisk: A Hybrid Model for Code Vulnerability Detection

Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model!

InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy

Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness

Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem

Exploring the Secondary Risks of Large Language Models

Benchmarking Misuse Mitigation Against Covert Adversaries

Efficient Preimage Approximation for Neural Network Certification

Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection

PARASITE: Conditional System Prompt Poisoning to Hijack LLMs

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs

Secure LLM Fine-Tuning via Safety-Aware Probing

Can Large Language Models Really Recognize Your Name?

PoLO: Proof-of-Learning and Proof-of-Ownership at Once with Chained Watermarking

Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents

A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?

AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models

Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients

Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion

Chronology of Multi-Agent Interactions for Provenance of Evolving Information

Progent: Securing AI Agents with Privilege Control

Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models

DeePen: Penetration Testing for Audio Deepfake Detection

Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)

How Vulnerable Is My Learned Policy? Universal Adversarial Perturbation Attacks On Modern Behavior Cloning Policies

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI

PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models

A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis

Red-Teaming Text-to-Image Models via In-Context Experience Replay and Semantic-Preserving Prompt Rewriting

DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning

Privacy Leakage via Output Label Space and Differentially Private Continual Learning

ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs

Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Models

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment

Power-Softmax: Towards Secure LLM Inference over Encrypted Data

FlipAttack: Jailbreak LLMs via Flipping

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery

Anomaly Detection from a Tensor Train Perspective

Survival of the Cheapest: Cost-Aware Hardware Adaptation for Adversarial Robustness

Convergent Differential Privacy Analysis for General Federated Learning

Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training

The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

Towards Agentic Runtime Healing

Verification of Machine Unlearning is Fragile

Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning

Whispers in the Machine: Confidentiality in Agentic Systems

MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks

Towards Adaptive, Learning-Based Security in Decentralized Applications

Approximate and Weighted Data Reconstruction Attack in Federated Learning

Can Blockchains Reliably Train Machine Learning Models?

Vendor-Conditioned Contrastive Learning for Predicting Organizational Cyber Threat Targets

推荐订阅源

cs.CR updates on arXiv.org