Showing 1–20 of 43 results
/ Date/ Name
Nov 21, 2022Understanding and Improving Visual Prompting: A Label-Mapping PerspectiveAug 19, 2023Robust Mixture-of-Expert Training for Convolutional Neural NetworksMar 18, 2024The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset SelectionOct 18, 2023To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For NowFeb 18, 2024Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A BenchmarkJun 13, 2022Distributed Adversarial Training to Robustify Deep Neural Networks at ScaleSep 21, 2022Fairness ReprogrammingOct 8, 2022Advancing Model Pruning via Bi-level OptimizationOct 19, 2023SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and GenerationMar 7, 2023Robustness-preserving Lifelong Learning via Dataset CondensationMar 4, 2023What Is Missing in IRM Training and Evaluation? Challenges and SolutionsAug 1, 2023An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine LearningOct 3, 2023DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingMay 24, 2024Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion ModelsDec 23, 2021Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level OptimizationMar 29, 2023A Pilot Study of Query-Free Adversarial Attack against Stable DiffusionFeb 19, 2024UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion ModelsOct 13, 2023Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer LearningMar 12, 2024How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalanceOct 10, 2025LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data