Adversarial Learning

Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective IJCAI 2020 Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval WACV 2020 State-Relabeling Adversarial Active Learning CVPR 2020 Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020 Stochastic Hamiltonian Gradient Methods for Smooth Games ICML 2020 Stronger and Faster Wasserstein Adversarial Attacks ICML 2020 Structural and Functional Decomposition for Personality Image Captioning in a Communication Game EMNLP 2020 Structure-Preserving Super Resolution With Gradient Guidance CVPR 2020 Style Variation as a Vantage Point for Code-Switching Interspeech 2020 Style versus Content: A distinction without a (learnable) difference? COLING 2020 Stylized Text Generation: Approaches and Applications ACL 2020 Suspicion-Free Adversarial Attacks on Clustering Algorithms AAAI 2020 SymGAN: Orientation Estimation without Annotation for Symmetric Objects WACV 2020 Synthesizing Action Sequences for Modifying Model Decisions AAAI 2020 T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack EMNLP 2020 Targeted Adversarial Perturbations for Monocular Depth Prediction NeurIPS 2020 Task-Relevant Adversarial Imitation Learning CoRL 2020 Task-Robust Model-Agnostic Meta-Learning NeurIPS 2020 Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis EMNLP 2020 TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020 Teaching a GAN What Not to Learn NeurIPS 2020 TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP EMNLP 2020 TextAttack: Lessons learned in designing Python frameworks for NLP EMNLP 2020 T-GD: Transferable GAN-generated Images Detection Framework ICML 2020 The Attacker’s Perspective on Automatic Speaker Verification: An Overview Interspeech 2020