Adversarial Learning

Black-Box Adversarial Attack with Transferable Model-based Embedding ICLR 2020 Black-Box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Examples Interspeech 2020 Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework NeurIPS 2020 Boosting Adversarial Training with Hypersphere Embedding NeurIPS 2020 Boosting the Transferability of Adversarial Samples via Attention CVPR 2020 Branch and Bound for Piecewise Linear Neural Network Verification JMLR 2020 Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness ICLR 2020 Bridging the Gap Between f-GANs and Wasserstein GANs ICML 2020 Bursting the Filter Bubble: Fairness-Aware Network Link Prediction AAAI 2020 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020 Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification WACV 2020 Calibrated Surrogate Losses for Adversarially Robust Classification COLT 2020 Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract) IJCAI 2020 CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation AAAI 2020 CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation EMNLP 2020 CD-UAP: Class Discriminative Universal Adversarial Perturbation AAAI 2020 Certified Defenses for Adversarial Patches ICLR 2020 Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks NeurIPS 2020 ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution WACV 2020 CircleGAN: Generative Adversarial Learning across Spherical Circles NeurIPS 2020 Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020 C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation UAI 2020 CoachGAN WACV 2020 ColdGANs: Taming Language GANs with Cautious Sampling Strategies NeurIPS 2020 Collaborative Sampling in Generative Adversarial Networks AAAI 2020