2 citations · 2 across the 8 of their papers we have counts for
3 papers · 1 filter
Language Guidance for Supervised Vision Training: An Empirical Study of Generalization
Shruthi Gowda, Nikita Jain, Elahe Arani +1
Deep neural networks have achieved remarkable success on vision benchmarks, yet they continue to struggle with many generalization challenges. Supervised vision training relies on…
Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs
Alexander Panfilov, Peter Romov, Igor Shilov +3
We show that AI agents are capable of discovering novel algorithms for adversarial attacks against LLMs, advancing the state of the art on white-box jailbreaking and prompt injecti…
RAT-Bench: A Comprehensive Benchmark for Text Anonymization
Nataša Krčo, Zexi Yao, Matthieu Meeus +1
Data containing personal information is increasingly used to train, fine-tune, or query Large Language Models (LLMs). Text is typically scrubbed of identifying information prior to…