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Adversarial Learning

1,292 papers

Papers per year

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Papers

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training EMNLP 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP EMNLP 2020
Robustness to Modification with Shared Words in Paraphrase Identification EMNLP 2020
Reevaluating Adversarial Examples in Natural Language EMNLP 2020
Event-Related Bias Removal for Real-time Disaster Events EMNLP 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder EMNLP 2020
Second-Order NLP Adversarial Examples EMNLP 2020
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples EMNLP 2020
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries EMNLP 2020
Evaluation of Coreference Resolution Systems Under Adversarial Attacks EMNLP 2020
Generalization to Mitigate Synonym Substitution Attacks EMNLP 2020
Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020
Randomization matters How to defend against strong adversarial attacks ICML 2020
Understanding and Mitigating the Tradeoff between Robustness and Accuracy ICML 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations ICML 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020
Neural Network Control Policy Verification With Persistent Adversarial Perturbation ICML 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning ICML 2020
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness IJCAI 2020
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error IJCAI 2020
Improving the Speaker Identity of Non-Parallel Many-to-Many Voice Conversion with Adversarial Speaker Recognition INTERSPEECH 2020
Adversarial Separation Network for Speaker Recognition INTERSPEECH 2020
Dual-Adversarial Domain Adaptation for Generalized Replay Attack Detection INTERSPEECH 2020
Defense for Black-Box Attacks on Anti-Spoofing Models by Self-Supervised Learning INTERSPEECH 2020