🔗 Who cites «On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models»

56 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models»

1. TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLPJohn X. Morris, Eli Lifland, Jin Yong Yoo, et al.2020 · 858 citations
2. Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020 · 522 citations
3. Weight Poisoning Attacks on Pretrained ModelsKeita Kurita, Paul Michel, Graham Neubig2020 · 415 citations
4. Certified Robustness to Adversarial Word SubstitutionsRobin Jia, Aditi Raghunathan, Kerem Göksel, et al.2019 · 337 citations
5. Reevaluating Adversarial Examples in Natural LanguageJohn Morris, Eli Lifland, Jack Lanchantin, et al.2020 · 151 citations
6. It's Morphin' Time! Combating Linguistic Discrimination with Inflectional PerturbationsSamson Tan, Shafiq Joty, Min-Yen Kan, et al.2020 · 130 citations

50 more papers of our library cite it; they have no page here yet.

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