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◬ AI & Machine Learning Aug 04, 2026
Adversarial Attacks in Multi-Agent LLM Pipelines: Unveiling Structural Vulnerabilities in Agentic AI Architectures

arXiv:2608.00718v1 Announce Type: new Abstract: Multi-agent LLM pipelines orchestrate multiple specialized language model agents into structured workflows where intermediate outputs are passed across …

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Supporting Cybersecurity Risk Management for Medical Devices via the SECUMAN Ontology and Shapes

arXiv:2608.00698v1 Announce Type: new Abstract: We propose the SECUMAN ontology and shapes for representing and analysing cybersecurity risk-management documentation for medical devices. Cybersecurity…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
From Chasing Ghosts to Missed Attacks: Perspectives and Perceptions of SOC Practitioners on LLM Integration, Risks, and Readiness

arXiv:2608.00672v1 Announce Type: new Abstract: Security Operations Centers (SOCs) process large volumes of security events, requiring analysts to accurately detect and assess ongoing cyberattacks und…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Improving the Security of Containerized Workloads using Transparency and Traceability Services

arXiv:2608.00660v1 Announce Type: new Abstract: Containerized workloads are commonly built via CI/CD pipelines, stored in registries, and executed across heterogeneous infrastructures, including cloud…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Domain Decoupling Attack: Exploiting the Validation Gap Between Protective DNS and Shared Edge Routing

arXiv:2608.00643v1 Announce Type: new Abstract: Network attackers often conceal malicious communication within legitimate Internet traffic. Existing CDN-based evasion techniques rely on SNI--Host inco…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
A False Average: Chain-of-Thought Monitors Collapse Where They Are the Only Defense

arXiv:2608.00583v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is meant to catch the reward hacks that look clean in the actions and betray themselves only in the reasoning. We show…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Robust Watermarks Meet Backdoored Models: Evading Diffusion Semantic Watermarks via Stealthy Backdoor

arXiv:2608.00543v1 Announce Type: new Abstract: Although semantic watermarking is considered a promising safeguard for images generated by Latent Diffusion Models (LDMs), the reliance of the watermark…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Exploring Usability and Legal Practice: Insights from German Judicial Users of Digital Forensics

arXiv:2608.00541v1 Announce Type: new Abstract: Digital forensics has become an integral part of modern criminal proceedings, yet its effective integration remains challenging because of increasing da…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Auditable Release Control for Pedagogical Leakage in LLM Tutors

arXiv:2608.00515v1 Announce Type: new Abstract: Large language model tutors can be correct and helpful yet disclose an answer or decisive reasoning before that disclosure is authorized. We formalize t…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
TI-StegoAlign: Channel-Guided Post-Training for Generative Text Steganography under Tokenization Inconsistency

arXiv:2608.00382v1 Announce Type: new Abstract: Generative text steganography enables LLM agents to exchange secret information through task-relevant messages. Yet most methods evaluate recovery on se…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Trimming: Decoupling Multiplicative Depth from Modulus Chains in RNS-CKKS via Rational Levels

arXiv:2608.00375v1 Announce Type: new Abstract: Recent work on Grafting decouples scale factors from ciphertext moduli, enabling more flexible precision management in RNS-CKKS. However, the multiplica…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Reflection, Education, Consistency: Towards Best Ethics Practices At Security And Privacy Conferences

arXiv:2608.00282v1 Announce Type: new Abstract: Research ethics is a controversial and emotionally charged topic in the security and privacy community, sparking discussions at conferences and on socia…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
From Monoliths to Swarms: A Study of Attack Surface Evolution in the Transition to Multi-Agent Web Systems

arXiv:2608.00202v1 Announce Type: new Abstract: Large Language Model (LLM)-based web agents are increasingly evolving from single-agent systems (SAS) to multi-agent systems (MAS). While MAS can lead t…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Exposed by Design: A Dynamic Security Assessment of Internet-Facing MCP Servers at Scale

arXiv:2608.00150v1 Announce Type: new Abstract: The Model Context Protocol (MCP) has seen rapid adoption since its November 2024 launch, with over 21,000 server instances detectable on the public inte…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Symbolic Attack Chain Generation from Atomic Red Team Techniques: An Empirical Study of Predicate Representation Granularity

arXiv:2608.00143v1 Announce Type: new Abstract: Automated attack chain generation is critical for modern cybersecurity, yet manual construction fails to scale as adversary behaviors expand. While clas…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks

arXiv:2608.00134v1 Announce Type: new Abstract: As LLMs become increasingly integrated into complex applications, their vulnerability to adversarial attacks has raised significant concerns. However, e…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Enforcing Access Control in Distributed Version Control Systems

arXiv:2608.00132v1 Announce Type: new Abstract: Version control systems (VCS), including central VCS (CVCS) and distributed VCS (DVCS), are widely adopted to manage the changes to various types of dat…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Deep Learning for Cyber Threat Detection and Mitigation in Healthcare-IoT

arXiv:2608.00118v1 Announce Type: new Abstract: Cybersecurity is a fundamental requirement for protecting wearable devices used in healthcare Internet of Things (H-IoT) systems. Security failures in t…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
Skillsets on the Chain: A Blockchain-based Zero-Trust Framework for Agentic AI Networking

arXiv:2608.00104v1 Announce Type: new Abstract: Agentic AI networking (AgentNet) systems rely heavily on third-party skillset implementations and distributed multi-agent collaboration, yet they face m…

arXiv Security Read →
◬ AI & Machine Learning Aug 04, 2026
ESET Showcases Cutting-Edge AI Security at Black Hat 2026 - Cyber Magazine

ESET Showcases Cutting-Edge AI Security at Black Hat 2026 Cyber Magazine

Cyber Magazine Read →
◬ AI & Machine Learning Aug 03, 2026
Trump’s AI protectionism has come for robotics

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Humanoid robots usually elicit more cringe than awe: They stum…

MIT Tech Review AI Read →
◬ AI & Machine Learning Aug 03, 2026
ESET Showcases Cutting-Edge AI Security at Black Hat 2026 - GlobeNewswire

ESET Showcases Cutting-Edge AI Security at Black Hat 2026 GlobeNewswire

GlobeNewswire Read →
◬ AI & Machine Learning Aug 03, 2026
Here’s why AI agents lie and cheat to reach their goals

MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. When two OpenAI model…

MIT Tech Review AI Read →
◬ AI & Machine Learning Aug 03, 2026
Don't Mix Rewards, Mix Policies: Policy Decomposition and Optimization for Multi-Reward RL

arXiv:2607.29246v1 Announce Type: new Abstract: Modern large language models (LLMs) are expected not just to answer correctly, but to adapt their behavior to different human values and use cases. As a…

arXiv AI Read →
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