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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023

Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023

Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples ICML 2023

Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023

Understanding Backdoor Attacks through the Adaptability Hypothesis ICML 2023

Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems ICML 2023

Raising the Cost of Malicious AI-Powered Image Editing ICML 2023

Run-off Election: Improved Provable Defense against Data Poisoning Attacks ICML 2023

Robust Perception through Equivariance ICML 2023

Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer ICML 2023

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023

Reconstructive Neuron Pruning for Backdoor Defense ICML 2023

Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023

Rethinking Backdoor Attacks ICML 2023

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training ICML 2023

Understanding the Impact of Adversarial Robustness on Accuracy Disparity ICML 2023

NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023

BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming ICML 2023

Reducing Sentiment Bias in Pre-trained Sentiment Classification via Adaptive Gumbel Attack AAAI 2023

Adversarial Self-Attention for Language Understanding AAAI 2023

Memorization Weights for Instance Reweighting in Adversarial Training AAAI 2023

Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective AAAI 2023

Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles AAAI 2023

Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023

Local-Global Defense against Unsupervised Adversarial Attacks on Graphs AAAI 2023