Adversarial Learning

Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis Interspeech 2022 Explicit Tradeoffs between Adversarial and Natural Distributional Robustness NeurIPS 2022 Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection NeurIPS 2022 Exploring Effective Data for Surrogate Training Towards Black-Box Attack CVPR 2022 Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks EMNLP 2022 Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training ACL 2022 Fair NLP Models with Differentially Private Text Encoders EMNLP 2022 FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack AAAI 2022 FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract) AAAI 2022 FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning IJCAI 2022 Few-Shot Backdoor Attacks on Visual Object Tracking ICLR 2022 Finding Naturally Occurring Physical Backdoors in Image Datasets NeurIPS 2022 Fine-grained Noise Control for Multispeaker Speech Synthesis Interspeech 2022 First the Worst: Finding Better Gender Translations During Beam Search ACL 2022 Formulating Robustness Against Unforeseen Attacks NeurIPS 2022 FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations AAAI 2022 Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity CVPR 2022 Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack NeurIPS 2022 GAMA: Generative Adversarial Multi-Object Scene Attacks NeurIPS 2022 GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data AAAI 2022 Generalized One-shot Domain Adaptation of Generative Adversarial Networks NeurIPS 2022 Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation NAACL 2022 Generating Distributional Adversarial Examples to Evade Statistical Detectors ICML 2022 Geometry-Aware Guided Loss for Deep Crack Recognition CVPR 2022 Gradient Based Activations for Accurate Bias-Free Learning AAAI 2022