Yuxin Wen
16 papers · 2020–2025 · 4 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
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π€
Dynamic Duo
(11)
π
Triple Crown
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(89)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Application Areas
(8)
Artificial Intelligence
(7)
Deep Learning
(7)
Core AI
(6)
Learning Types Β· Machine Learning
(5)
Computer Vision
(4)
Security & Privacy
(4)
Models
(4)
Privacy
(4)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Analysis
(2)
Core Methods
(2)
Generation
(2)
Keywords
privacy attack
(3)
gradient attack
(2)
membership inference
(2)
large language model
(2)
generative model
(2)
false positive rate
(2)
copyright protection
(2)
privacy risk
(2)
federated learning
(2)
implicit surface
(2)
privacy leakage
(2)
reinforcement learning from human feedback
(1)
gradient-based optimization
(1)
surface reconstruction
(1)
instruction tuning
(1)
implicit representation
(1)
robustness
(1)
3d reconstruction
(1)
point cloud
(1)
text generation
(1)
Papers
Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence
CVPR 2025
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
NeurIPS 2024
Detecting, Explaining, and Mitigating Memorization in Diffusion Models
ICLR 2024
NEFTune: Noisy Embeddings Improve Instruction Finetuning
ICLR 2024
On the Reliability of Watermarks for Large Language Models
ICLR 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
NeurIPS 2024
WAVES: Benchmarking the Robustness of Image Watermarks
ICML 2024
A Watermark for Large Language Models
ICML 2023
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
ICLR 2023
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
ICLR 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
NeurIPS 2023
Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images
NeurIPS 2023
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
ICML 2022
Deep Optimized Priors for 3D Shape Modeling and Reconstruction
CVPR 2021
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds
CVPR 2021
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
ICML 2020