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

v1v2v3 (latest)

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

International Conference on Machine Learning (ICML), 2022

8 July 2022

Bhiksha Raj

ArXiv (abs)PDF HTML

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

4 / 4 papers shown

The Vulnerability of Language Model Benchmarks: Do They Accurately
Reflect True LLM Performance?

The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance?

Sourav Banerjee

Eishkaran Singh

266

20

0

02 Dec 2024

An Analytic Solution to Covariance Propagation in Neural Networks

An Analytic Solution to Covariance Propagation in Neural Networks

José M. F. Moura

229

9

0

24 Mar 2024

Exploring the Adversarial Frontier: Quantifying Robustness via
Adversarial Hypervolume

Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial HypervolumeIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2024

243

4

0

08 Mar 2024

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation
using Generative Models

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative ModelsNeural Information Processing Systems (NeurIPS), 2023

Tsung-Yi Ho

204

6

0

19 Apr 2023