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Adversarial Learning

4,859 papers

Papers per year

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Papers

Blurred-Dilated Method for Adversarial Attacks NIPS 2023
Stable Diffusion is Unstable NIPS 2023
MADG: Margin-based Adversarial Learning for Domain Generalization NIPS 2023
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks NIPS 2023
A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning NIPS 2023
Are aligned neural networks adversarially aligned? NIPS 2023
Regret Matching+: (In)Stability and Fast Convergence in Games NIPS 2023
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits NIPS 2023
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents NIPS 2023
On the Exploitability of Instruction Tuning NIPS 2023
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning NIPS 2023
BERT Lost Patience Won't Be Robust to Adversarial Slowdown NIPS 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers NIPS 2023
Deep Contract Design via Discontinuous Networks NIPS 2023
Strong and Precise Modulation of Human Percepts via Robustified ANNs NIPS 2023
IBA: Towards Irreversible Backdoor Attacks in Federated Learning NIPS 2023
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP NIPS 2023
A General Framework for Robust G-Invariance in G-Equivariant Networks NIPS 2023
CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches NIPS 2023
Multi-scale Diffusion Denoised Smoothing NIPS 2023
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization NIPS 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NIPS 2023
Label-Only Model Inversion Attacks via Knowledge Transfer NIPS 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima NIPS 2023
Adversarial Counterfactual Environment Model Learning NIPS 2023