Jiancheng Liu
12 papers · 2023–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (33) π€ Dynamic Duo (11)
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Prolific Year Β· Productive
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(58)
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The Questioner
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Machine Learning
(10)
Artificial Intelligence
(7)
Deep Learning
(7)
Learning Types Β· Machine Learning
(7)
Application Areas
(6)
Core AI
(6)
Models
(3)
Natural Language Processing
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Resources & Methods
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Keywords
machine unlearning
(6)
diffusion model
(2)
large language model
(2)
text-to-image generation
(2)
knowledge editing
(2)
model editing
(1)
self-supervised learning
(1)
image generation
(1)
model architecture
(1)
model unlearning
(1)
adversarial training
(1)
gradient-based optimization
(1)
supervised learning
(1)
model pruning
(1)
gradient estimation
(1)
preference optimization
(1)
data privacy
(1)
second-order optimization
(1)
feature mapping
(1)
transfer learning
(1)
Papers
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
WACV 2025
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
ECCV 2024
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
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
Towards Universal Mesh Movement Networks
NeurIPS 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
Model Sparsity Can Simplify Machine Unlearning
NeurIPS 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
NeurIPS 2023