New Attack Method Targets LLM Robustness
Researchers have developed a new method to evaluate adversarial robustness in large language models. The 'Attacks Are All You Need' method aims to be black-box, adaptive, efficient, and transferable.
Topics
Developing
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Sources · 7 independent
Modernity/arxiv
“Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs.”
Modernity/arxiv
“Reasoning over Grammar: Can Synthetic Linguistic Reasoning Traces Enhance Low-Resource Machine Translation?. Authors: Renhao Pei, Yihong Liu, Sampo Pyysalo, Hinrich Schütze, Shaoxiong Ji Abstract: Large language models (LLMs) offer a promising approach to machine translation (MT) for extremely low-resource ...”
Modernity/arxiv
“Large language models (LLMs) offer a promising approach to machine translation (MT) for extremely low-resource ...”
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