1 citations · 1 across the 3 of their papers we have counts for
3 papers
Echoes of Human Malice in Agents: Benchmarking LLMs for Multi-Turn Online Harassment Attacks
Trilok Padhi, Pinxian Lu, Abdulkadir Erol +5
Large Language Model (LLM) agents are powering a growing share of interactive web applications, yet remain vulnerable to misuse and harm. Prior jailbreak research has largely focus…
Towards Unifying Quantitative Security Benchmarking for Multi Agent Systems
Gauri Sharma, Vidhi Kulkarni, Miles King +1
Evolving AI systems increasingly deploy multi-agent architectures where autonomous agents collaborate, share information, and delegate tasks through developing protocols. This conn…
Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms
Derssie Mebratu, Niranjan Hasabnis, Pietro Mercati +2
Modern deep learning (DL) applications are built using DL libraries and frameworks such as TensorFlow and PyTorch. These frameworks have complex parameters and tuning them to obtai…