How many perturbations break this model? Evaluating robustness beyond
adversarial accuracy

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How many perturbations break this model? Evaluating robustness beyond adversarial accuracy

International Conference on Machine Learning (ICML), 2022

8 July 2022

Bhiksha Raj

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Papers citing "How many perturbations break this model? Evaluating robustness beyond adversarial accuracy"

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Title
The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance? Sourav Banerjee Ayushi Agarwal Eishkaran Singh ELM 214 19 0 02 Dec 2024
An Analytic Solution to Covariance Propagation in Neural Networks Oren Wright Yorie Nakahira José M. F. Moura 172 9 0 24 Mar 2024
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial HypervolumeIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2024 Ping Guo Cheng Gong Xi Lin Zhiyuan Yang Qingfu Zhang AAML 202 4 0 08 Mar 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative ModelsNeural Information Processing Systems (NeurIPS), 2023 Zaitang Li Pin-Yu Chen Tsung-Yi Ho AAML DiffM 170 6 0 19 Apr 2023