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Adversarial Learning

2063 directly classified papers

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Papers

Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime AAAI 2023
Generative Adversarial Symmetry Discovery ICML 2023
PGSS: Pitch-Guided Speech Separation AAAI 2023
Certifying Fairness of Probabilistic Circuits AAAI 2023
Fair Text Classification with Wasserstein Independence EMNLP 2023
GAN-Based Domain Inference Attack AAAI 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning AAAI 2023
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023
Combining Adversaries with Anti-adversaries in Training AAAI 2023
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility AAAI 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NIPS 2023
FIT BUT at SemEval-2023 Task 12: Sentiment Without Borders - Multilingual Domain Adaptation for Low-Resource Sentiment Classification SEMEVAL 2023
State-Conditioned Adversarial Subgoal Generation AAAI 2023
On the Vulnerability of Backdoor Defenses for Federated Learning AAAI 2023
CUDA: Convolution-Based Unlearnable Datasets CVPR 2023
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles AAAI 2023
Combating Mode Collapse via Offline Manifold Entropy Estimation AAAI 2023
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness AAAI 2023
Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023
Unfooling Perturbation-Based Post Hoc Explainers AAAI 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023