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Adversarial Learning

4,854 papers

Papers per year

Papers

Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation NIPS 2022
Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play Method NIPS 2022
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting NIPS 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NIPS 2022
Benefits of Permutation-Equivariance in Auction Mechanisms NIPS 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions NIPS 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models NIPS 2022
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity NIPS 2022
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch NIPS 2022
Towards Lightweight Black-Box Attack Against Deep Neural Networks NIPS 2022
Isometric 3D Adversarial Examples in the Physical World NIPS 2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses NIPS 2022
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection NIPS 2022
Gradient Methods Provably Converge to Non-Robust Networks NIPS 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach NIPS 2022
Finding Naturally Occurring Physical Backdoors in Image Datasets NIPS 2022
One-shot Neural Backdoor Erasing via Adversarial Weight Masking NIPS 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning NIPS 2022
A2: Efficient Automated Attacker for Boosting Adversarial Training NIPS 2022
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples NIPS 2022
Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers NIPS 2022
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks NIPS 2022
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks NIPS 2022
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability NIPS 2022
DISCO: Adversarial Defense with Local Implicit Functions NIPS 2022