AI Threat AlertCross-Session Threats in AI Agents: Benchmark, Evaluation, and Algorithms
attack taxonomies classified by kill-chain stage and cross-session operation (accumulate, compose, launder, inject_on_reader), each bound to one of seven identity anchors that ground-truth "violation
Clean Data Can Still Carry Backdoors: Support-Persistent Backdoors for Model Reuse
Traditional backdoor attacks inject artificial trigger patterns into training data, causing models to misclassify triggered inputs while maintaining normal behavior on clean samples. Since these artificial triggers are absent
TriFleetRCA: On-Premise LLM Root Cause Analysis for Kubernetes
evidence lines supporting it. We evaluate on a live Kubernetes cluster into which we inject four faults, so ground truth is known by construction, across 100 analyses with Qwen2.5-14B-Instruct
ALIBI: Adversarial Legitimacy Injection in Binary Input against LLM Malware Analyzers
Large language models are being integrated into malware triage workflows
MACGen: Toward Functionally Correct and Secure Code Generation via Multi-Agent Collaboration
multi-objective problem: functional correctness and security. Existing approaches address this challenge by injecting external security knowledge or by using agentic feedback and iterative refinement. However, guideline retrieval often leaves
Beyond Attack-Success Rate: Action-Graded Severity Scale for Tool-Using AI Agents
Agentic red-teaming benchmarks report whether an injected agent was
The Capability Paradox: How Smarter Auditors Make Multi-Agent Systems Less Secure
domain-specific narratives and propagated to a Manager through Worker reports, without any syntactic injection primitives. Across 42,000 adversarial trials over 12 Manager models and 7 Worker configurations
Whisper Leak: a side-channel attack on Large Language Models
paramount. This paper introduces Whisper Leak, a side-channel attack that infers user prompt topics from encrypted LLM traffic by analyzing packet size and timing patterns in streaming responses. Despite
Has the Two-Decade-Old Prophecy Come True? Artificial Bad Intelligence Triggered by Merely a Single-Bit Flip in Large Language Models
Recently, Bit-Flip Attack (BFA) has garnered widespread attention for