Adversarial Learning

Accelerated WGAN Update Strategy With Loss Change Rate Balancing WACV 2021 Accumulative Poisoning Attacks on Real-time Data NeurIPS 2021 ACE: Explaining cluster from an adversarial perspective ICML 2021 Achieving Model Robustness through Discrete Adversarial Training EMNLP 2021 Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization CVPR 2021 A Context Aware Approach for Generating Natural Language Attacks AAAI 2021 Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback AAAI 2021 Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021 Adaptive Weighted Discriminator for Training Generative Adversarial Networks CVPR 2021 Addressing the Long-term Impact of ML Decisions via Policy Regret IJCAI 2021 Addressing the Vulnerability of NMT in Input Perturbations NAACL 2021 A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews NAACL 2021 Admix: Enhancing the Transferability of Adversarial Attacks ICCV 2021 AdvDrop: Adversarial Attack to DNNs by Dropping Information ICCV 2021 Adversarial Attack against Cross-lingual Knowledge Graph Alignment EMNLP 2021 Adversarial Attack Generation Empowered by Min-Max Optimization NeurIPS 2021 Adversarial Attack on Deep Cross-Modal Hamming Retrieval ICCV 2021 Adversarial Attacks Are Reversible With Natural Supervision ICCV 2021 Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations NeurIPS 2021 Adversarial Attacks on Graph Classifiers via Bayesian Optimisation NeurIPS 2021 Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods EMNLP 2021 Adversarial Attacks on Multi-Agent Communication ICCV 2021 Adversarial Data Augmentation for Disordered Speech Recognition Interspeech 2021 Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples WACV 2021 Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021