Tag: machine learning security
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BlindGuard: Unsupervised Security for LLM Multi-Agent Systems
Discover BlindGuard, an unsupervised defense enhancing security in LLM-based multi-agent systems against unknown attacks without labeled data.
Plug-and-Play Defense for Backdoored LLMs with TIGS
Discover TIGS, a plug-and-play defense that protects large language models from backdoor attacks without affecting performance or latency.
Agentic Adversarial Attacks Reveal NLP Pipeline Weaknesses
Discover how agentic adversarial rewriting exposes key vulnerabilities in black-box NLP pipelines, highlighting risks and defense strategies.
Google Invests $32B in AI Cybersecurity Agents
Google commits $32B to AI-driven cybersecurity agents for real-time threat detection and automated defense in the escalating cyber arms race.
Efficient Membership Inference for Diffusion Models via Noise Injection
Discover an efficient method for membership inference in diffusion models using noise aggregation and low-intensity noise injection to enhance privacy prot...