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Adversarial Learning

4,854 papers

Papers per year

Papers

Alleviating Adversarial Attacks on Variational Autoencoders with MCMC NIPS 2022
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures CVPR 2022
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization ICML 2022
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts EMNLP 2022
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks IJCAI 2022
Spatial Frequency Bias in Convolutional Generative Adversarial Networks AAAI 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios IJCAI 2022
Your Out-of-Distribution Detection Method is Not Robust! NIPS 2022
Not All Poisons are Created Equal: Robust Training against Data Poisoning ICML 2022
Learning Disentangled Representations of Negation and Uncertainty ACL 2022
Improved techniques for deterministic l2 robustness NIPS 2022
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond CVPR 2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning AACL 2022
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task EMNLP 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction AAAI 2022
XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract) AAAI 2022
Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings INTERSPEECH 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method ICML 2022
Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks NAACL 2022
An Adversarial Framework for Generating Unseen Images by Activation Maximization AAAI 2022
AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning EMNLP 2022
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model NAACL 2022
Subspace Adversarial Training CVPR 2022
Are Defenses for Graph Neural Networks Robust? NIPS 2022
Collecting high-quality adversarial data for machine reading comprehension tasks with humans and models in the loop NAACL 2022