Adversarial Learning

Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity IJCAI 2021 Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning ACL 2021 Detail Me More: Improving GAN's Photo-Realism of Complex Scenes ICCV 2021 Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain AAAI 2021 Detection and Defense of Topological Adversarial Attacks on Graphs AISTATS 2021 Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract) AAAI 2021 Dialect Identification through Adversarial Learning and Knowledge Distillation on Romanian BERT EACL 2021 DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation ICLR 2021 Disentangled Information Bottleneck AAAI 2021 Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond AAAI 2021 Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing EACL 2021 Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck NeurIPS 2021 Diverse Adversaries for Mitigating Bias in Training EACL 2021 Don’t Search for a Search Method — Simple Heuristics Suffice for Adversarial Text Attacks EMNLP 2021 Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ICML 2021 Do Wider Neural Networks Really Help Adversarial Robustness? NeurIPS 2021 Dropout: Explicit Forms and Capacity Control ICML 2021 DSRNA: Differentiable Search of Robust Neural Architectures CVPR 2021 Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval AAAI 2021 Dual-Arm Adversarial Robot Learning CoRL 2021 Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement CVPR 2021 Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack NAACL 2021 Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation ICCV 2021 Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder AAAI 2021 EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (Student Abstract) AAAI 2021