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Papers
Fantastic Robustness Measures: The Secrets of Robust Generalization
NeurIPS 2023
Fast Adversarial Training with Smooth Convergence
ICCV 2023
Feature Separation and Recalibration for Adversarial Robustness
CVPR 2023
Federated Adversarial Learning: A Framework with Convergence Analysis
ICML 2023
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning
AAAI 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
From Robustness to Privacy and Back
ICML 2023
Fundamental Limits in Formal Verification of Message-Passing Neural Networks
ICLR 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
ICML 2023
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
NeurIPS 2023
Generalization Bounds for Adversarial Metric Learning
IJCAI 2023
Graph Structure Learning via Lottery Hypothesis at Scale
ACML 2023
Hierarchical Randomized Smoothing
NeurIPS 2023
Holistic Adversarially Robust Pruning
ICLR 2023
Holistic Adversarial Robustness of Deep Learning Models
AAAI 2023
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
ICML 2023
How to Backdoor Diffusion Models?
CVPR 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness
ICCV 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
CVPR 2023
ImageNet Pre-training Also Transfers Non-robustness
AAAI 2023
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
NeurIPS 2023
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
ICML 2023
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
ICML 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting
ICCV 2023
Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
ICML 2023