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Adversarial Learning

4,854 papers

Papers per year

Papers

Scalable Infomin Learning NIPS 2022
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop NIPS 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness NIPS 2022
Rethinking Image Restoration for Object Detection NIPS 2022
Your Out-of-Distribution Detection Method is Not Robust! NIPS 2022
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks NIPS 2022
Accelerating Certified Robustness Training via Knowledge Transfer NIPS 2022
Blackbox Attacks via Surrogate Ensemble Search NIPS 2022
Defending Against Adversarial Attacks via Neural Dynamic System NIPS 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations NIPS 2022
Adversarial Robustness is at Odds with Lazy Training NIPS 2022
When Does Group Invariant Learning Survive Spurious Correlations? NIPS 2022
Enhance the Visual Representation via Discrete Adversarial Training NIPS 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks NIPS 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning NIPS 2022
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator NIPS 2022
Towards Consistency in Adversarial Classification NIPS 2022
Formulating Robustness Against Unforeseen Attacks NIPS 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC NIPS 2022
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space NIPS 2022
Are Defenses for Graph Neural Networks Robust? NIPS 2022
Are GANs overkill for NLP? NIPS 2022
Adversarial training for high-stakes reliability NIPS 2022
Phase Transition from Clean Training to Adversarial Training NIPS 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NIPS 2022