conftrace_

projected gradient descent

64 papers

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Also known as

PGD

Co-occurring keywords

adversarial attack (1621) adversarial training (1262) adversarial robustness (1341) robust optimization (307) high-dimensional regression (142) gradient descent (1144) model robustness (480) non-convex optimization (547) adversarial perturbation (384) adversarial example (564)

Papers

Subspace Adversarial Training CVPR 2022
Geometry-Aware Guided Loss for Deep Crack Recognition CVPR 2022
A heuristic for statistical seriation UAI 2021
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers ICML 2021
Learning by Turning: Neural Architecture Aware Optimisation ICML 2021
Natural continual learning: success is a journey, not (just) a destination NIPS 2021
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension AISTATS 2021
Distributed Zero-Order Optimization under Adversarial Noise NIPS 2021
Understanding Catastrophic Overfitting in Single-step Adversarial Training AAAI 2021
Stronger and Faster Wasserstein Adversarial Attacks ICML 2020
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses NIPS 2020
Unsupervised Audio Source Separation Using Generative Priors INTERSPEECH 2020
Partial Adversarial Behavior Deception in Security Games IJCAI 2020
A Flexible Latent Space Model for Multilayer Networks ICML 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger ICML 2020
Universal Latent Space Model Fitting for Large Networks with Edge Covariates JMLR 2020
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks AAAI 2020
Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020
An efficient nonconvex reformulation of stagewise convex optimization problems NIPS 2020
Distributionally Adversarial Attack AAAI 2019
Overcomplete Independent Component Analysis via SDP AISTATS 2019
Learning Sparse Distributions using Iterative Hard Thresholding NIPS 2019
On the Convergence and Robustness of Adversarial Training ICML 2019
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019