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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP EMNLP 2022
A Study of the Attention Abnormality in Trojaned BERTs NAACL 2022
Consistency Regularization for Adversarial Robustness AAAI 2022
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks EMNLP 2022
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution EMNLP 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation EMNLP 2022
TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search EMNLP 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models EMNLP 2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling EMNLP 2022
Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications COLING 2022
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs COLING 2022
PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack COLING 2022
Semantic-Preserving Adversarial Code Comprehension COLING 2022
MockingBERT: A Method for Retroactively Adding Resilience to NLP Models COLING 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class NIPS 2022
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training NIPS 2022
Understanding Robust Learning through the Lens of Representation Similarities NIPS 2022
Improving Certified Robustness via Statistical Learning with Logical Reasoning NIPS 2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition NIPS 2022
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets NIPS 2022
Robust Feature-Level Adversaries are Interpretability Tools NIPS 2022
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness NIPS 2022
BagFlip: A Certified Defense Against Data Poisoning NIPS 2022
On Optimal Learning Under Targeted Data Poisoning NIPS 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation NIPS 2022