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Andrew Ilyas

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Papers (10)

  1. Justified or Just Convincing? Error Verifiability as a Dimension of LLM Quality cs.HC · 2026 · author #10
  2. Evaluating and Understanding the Robustness of Adversarial Logit Pairing stat.ML · 2018 · author #2
  3. Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors stat.ML · 2018 · author #1
  4. How Does Batch Normalization Help Optimization? stat.ML · 2018 · author #3
  5. Black-box Adversarial Attacks with Limited Queries and Information cs.CV · 2018 · author #1
  6. The Robust Manifold Defense: Adversarial Training using Generative Models cs.CV · 2017 · author #2
  7. Query-Efficient Black-box Adversarial Examples (superceded) cs.CV · 2017 · author #1
  8. Training GANs with Optimism cs.LG · 2017 · author #2
  9. Extracting Syntactic Patterns from Databases cs.DB · 2017 · author #1
  10. Synthesizing Robust Adversarial Examples cs.CV · 2017 · author #3

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