Adversarial Learning

A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019 Attacking Data Transforming Learners at Training Time AAAI 2019 Attending to Discriminative Certainty for Domain Adaptation CVPR 2019 A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NeurIPS 2019 AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019 Barrage of Random Transforms for Adversarially Robust Defense CVPR 2019 Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack EMNLP 2019 Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks CVPR 2019 Certifiable Robustness to Graph Perturbations NeurIPS 2019 Combating Adversarial Misspellings with Robust Word Recognition ACL 2019 ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples CVPR 2019 Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks AAAI 2019 Curls & Whey: Boosting Black-Box Adversarial Attacks CVPR 2019 Defending Against Adversarial Attacks by Randomized Diversification CVPR 2019 Defending Neural Backdoors via Generative Distribution Modeling NeurIPS 2019 Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NeurIPS 2019 Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View CVPR 2019 Distributionally Adversarial Attack AAAI 2019 Domain-agnostic Question-Answering with Adversarial Training EMNLP 2019 DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering ACL 2019 Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition CVPR 2019 Efficient Neural Network Verification with Exactness Characterization UAI 2019 Evaluating adversarial attacks against multiple fact verification systems EMNLP 2019 Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks ICCV 2019 Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables CVPR 2019