Black-box Adversarial Attacks with Limited Queries and Information
1 version
AA
Anish Athalye
cs.LGstat.MLcs.AIcs.CRcs.CVcs.CL
On Valency
published · living versionsPreprints & journals
11 papers in the corpus · 2017–2026A Cheap Verifier is Good Enough: LLM Post-training is Robust to Erroneous Rewards
0 citations
BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows
0 citations
An Imperfect Verifier is Good Enough: Learning with Noisy Rewards
0 citations
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
292 citations
On Evaluating Adversarial Robustness
561 citations
Evaluating and Understanding the Robustness of Adversarial Logit Pairing
83 citations
Black-box Adversarial Attacks with Limited Queries and Information
806 citations
On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses
106 citations
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
2,171 citations
Query-Efficient Black-box Adversarial Examples (superceded)
41 citations
Synthesizing Robust Adversarial Examples
973 citations
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