4 papers
Latent Adversarial Detection: Adaptive Probing of LLM Activations for Multi-Turn Attack Detection
Prashant Kulkarni
Multi-turn prompt injection follows a known attack path -- trust-building, pivoting, escalation but text-level defenses miss covert attacks where individual turns appear benign. We…
An Independent Safety Evaluation of Kimi K2.5
Zheng-Xin Yong, Parv Mahajan, Andy Wang +12
Kimi K2.5 is an open-weight LLM that rivals closed models across coding, multimodal, and agentic benchmarks, but was released without an accompanying safety evaluation. In this wor…
Building A Secure Agentic AI Application Leveraging A2A Protocol
Idan Habler, Ken Huang, Vineeth Sai Narajala +1
As Agentic AI systems evolve from basic workflows to complex multi agent collaboration, robust protocols such as Google's Agent2Agent (A2A) become essential enablers. To foster sec…
Temporal Context Awareness: A Defense Framework Against Multi-turn Manipulation Attacks on Large Language Models
Prashant Kulkarni, Assaf Namer
Large Language Models (LLMs) are increasingly vulnerable to sophisticated multi-turn manipulation attacks, where adversaries strategically build context through seemingly benign co…