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

Simplex Constrained Sparse Optimization via Tail Screening JMLR 2025
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025
Non-Convex Tensor Recovery from Local Measurements AAAI 2025
WebInject: Prompt Injection Attack to Web Agents EMNLP 2025
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent CVPR 2025
RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack AAAI 2025
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation AAAI 2024
Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches INTERSPEECH 2024
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation ACL 2024
Exploiting LLM Quantization NIPS 2024
Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024
Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games NIPS 2023
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness NIPS 2023
Robustness Guarantees for Adversarially Trained Neural Networks NIPS 2023
Fast Trainable Projection for Robust Fine-tuning NIPS 2023
InfoOT: Information Maximizing Optimal Transport ICML 2023
Equilibria of Fully Decentralized Learning in Networked Systems L4DC 2023
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability NIPS 2023
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack ICML 2022
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training CVPR 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization ICML 2022
Subspace Adversarial Training CVPR 2022
Safe Online Convex Optimization with Unknown Linear Safety Constraints AAAI 2022
Geometry-Aware Guided Loss for Deep Crack Recognition CVPR 2022