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Adversarial Learning

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Papers

Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking CVPR 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model CVPR 2020
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data CVPR 2020
Undersensitivity in Neural Reading Comprehension EMNLP 2020
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NIPS 2020
Robust Pre-Training by Adversarial Contrastive Learning NIPS 2020
Data Efficient Voice Cloning from Noisy Samples with Domain Adversarial Training INTERSPEECH 2020
Adversarial Risk Bounds through Sparsity based Compression AISTATS 2020
Branch and Bound for Piecewise Linear Neural Network Verification JMLR 2020
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis AAAI 2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation EMNLP 2020
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications AAAI 2020
Adversarial Attack on Deep Product Quantization Network for Image Retrieval AAAI 2020
Adversarial Robustness of Flow-Based Generative Models AISTATS 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction ICML 2020
Overfitting in adversarially robust deep learning ICML 2020
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis EMNLP 2020
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models ICML 2020
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning EMNLP 2020
Adversarial Mutual Information for Text Generation ICML 2020
Adversarial Attacks on Copyright Detection Systems ICML 2020
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting NIPS 2020
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach NIPS 2020
Adversarial Self-Supervised Contrastive Learning NIPS 2020
Adversarial Weight Perturbation Helps Robust Generalization NIPS 2020