Skip to content
conftrace_

Yihua Zhang

28 papers · 2022–2026 · 10 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+9 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (45) 🀝 Dynamic Duo (28)
πŸ”¬ Deep Specialist (11) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (28) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (4) πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (136)

Venues

NeurIPS (6) ICLR (5) ICML (5) CVPR (3) ACL (2) EMNLP (2) ICCV (2) AAAI (1) ECCV (1) UAI (1)

Top co-authors

Sijia Liu (28) Jinghan Jia (12) Mingyi Hong (9) Jiancheng Liu (8) Yimeng Zhang (7) Shiyu Chang (6) Parikshit Ram (5) Tianlong Chen (5) Chongyu Fan (5) Pin-Yu Chen (5)

Research topics

Machine Learning (26) Artificial Intelligence (19) Core AI (17) Deep Learning (14) Application Areas (14) Learning Types Β· Machine Learning (14) Optimization & Theory Β· Machine Learning (13) Optimization & Theory Β· Deep Learning (7) Learning Paradigms (5) Learning Types Β· Deep Learning (4) Models (4) Natural Language Processing (3) Resources & Methods (3) Techniques (3) Computer Vision (2)

Keywords

machine unlearning (9) large language model (6) adversarial training (5) bilevel optimization (4) diffusion model (3) transfer learning (3) model editing (3) adversarial robustness (3) model utility (3) zeroth-order optimization (2) adversarial attack (2) deep neural network (2) mixture of expert (2) adversarial perturbation (2) lottery ticket hypothesis (2) model pruning (2) knowledge editing (2) text-to-image generation (2) robust classification (2) network pruning (2)

Papers

Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning ACL 2026 Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing CVPR 2025 Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning ICML 2025 Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025 Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills EMNLP 2025 SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? ACL 2025 Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond ICML 2025 Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective AAAI 2025 When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers ICLR 2025 DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training ICLR 2024 Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NeurIPS 2024 Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ICML 2024 SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation ICLR 2024 SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024 To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now ECCV 2024 UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models NeurIPS 2024 WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NeurIPS 2024 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Robust Mixture-of-Expert Training for Convolutional Neural Networks ICCV 2023 Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning NeurIPS 2023 TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization ICLR 2023 Understanding and Improving Visual Prompting: A Label-Mapping Perspective CVPR 2023 What Is Missing in IRM Training and Evaluation? Challenges and Solutions ICLR 2023 Advancing Model Pruning via Bi-level Optimization NeurIPS 2022 Distributed adversarial training to robustify deep neural networks at scale UAI 2022 Fairness Reprogramming NeurIPS 2022 Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free CVPR 2022 Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization ICML 2022