Adversarial Learning

Adversarially Learning Disentangled Speech Representations for Robust Multi-Factor Voice Conversion Interspeech 2021 Adversarially robust learning for security-constrained optimal power flow NeurIPS 2021 Adversarially Robust Low Dimensional Representations COLT 2021 Adversarial Policy Learning in Two-player Competitive Games ICML 2021 Adversarial Purification with Score-based Generative Models ICML 2021 Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021 Adversarial Robustness through Disentangled Representations AAAI 2021 Adversarial Robustness with Non-uniform Perturbations NeurIPS 2021 Adversarial Training and Provable Robustness: A Tale of Two Objectives AAAI 2021 Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks AAAI 2021 Adversarial Turing Patterns from Cellular Automata AAAI 2021 Adversarial Voice Conversion Against Neural Spoofing Detectors Interspeech 2021 Adv-OLM: Generating Textual Adversaries via OLM EACL 2021 Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models ICCV 2021 Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021 Anti-Backdoor Learning: Training Clean Models on Poisoned Data NeurIPS 2021 A PAC-Bayes Analysis of Adversarial Robustness NeurIPS 2021 APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing EMNLP 2021 Architectural Adversarial Robustness: The Case for Deep Pursuit CVPR 2021 A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks ACL 2021 Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms EMNLP 2021 Attribute-Guided Adversarial Training for Robustness to Natural Perturbations AAAI 2021 A Unified Multi-Scenario Attacking Network for Visual Object Tracking AAAI 2021 Automated Discovery of Adaptive Attacks on Adversarial Defenses NeurIPS 2021 Automatically Exposing Problems with Neural Dialog Models EMNLP 2021