Yuxin Wen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 58

Top Topics

Bayesian Inference

Diffusion Models

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
Benchmarking the Robustness of Image Watermarks. CoRR (2024)
Trudi Di Qi, Franceli L. Cibrian, Meghna Raswan, Tyler Kay, Hector M. Camarillo-Abad, Yuxin Wen
Toward Intuitive 3D Interactions in Virtual Reality: A Deep Learning- Based Dual-Hand Gesture Recognition Approach. IEEE Access 12 (2024)
Jialong Wang, Fan Zhang, Zhenzhen Gui, Yuxin Wen, Yaohua Zeng, Tang Xie, Tian Tan, Bochuan Chen, Jianhui Zhang
Design and Analysis of a Cardioid Flow Tube Valveless Piezoelectric Pump for Medical Applications. Sensors 24 (1) (2024)
Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR (2024)
Junde Chen, Yuxin Wen, Michael Pokojovy, Tzu-Liang (Bill) Tseng, Peter McCaffrey, Alex Vo, Eric Walser, Scott Moen
Multi-modal learning for inpatient length of stay prediction. Comput. Biol. Medicine 171 (2024)
Jiuhai Chen, Rifaa Qadri, Yuxin Wen, Neel Jain, John Kirchenbauer, Tianyi Zhou, Tom Goldstein
GenQA: Generating Millions of Instructions from a Handful of Prompts. CoRR (2024)
Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein
Coercing LLMs to do and reveal (almost) anything. CoRR (2024)
Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. CoRR (2024)
Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
Detecting, Explaining, and Mitigating Memorization in Diffusion Models. CoRR (2024)
Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models. CoRR (2024)
Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein
NEFTune: Noisy Embeddings Improve Instruction Finetuning. ICLR (2024)
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein
On the Reliability of Watermarks for Large Language Models. ICLR (2024)
Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
Detecting, Explaining, and Mitigating Memorization in Diffusion Models. ICLR (2024)
Junde Chen, Trudi Di Qi, Jacqueline Vu, Yuxin Wen
A deep learning approach for inpatient length of stay and mortality prediction. J. Biomed. Informatics 147 (2023)
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein
On the Reliability of Watermarks for Large Language Models. CoRR (2023)
Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein
Seeing in Words: Learning to Classify through Language Bottlenecks. Tiny Papers @ ICLR (2023)
Junde Chen, Yuxin Wen, Yaser Ahangari Nanehkaran, Defu Zhang, Adnan Zeb
Multiscale Attention Networks for Pavement Defect Detection. IEEE Trans. Instrum. Meas. 72 (2023)
Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust. CoRR (2023)
Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein
STYX: Adaptive Poisoning Attacks Against Byzantine-Robust Defenses in Federated Learning. ICASSP (2023)
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein
A Watermark for Large Language Models. ICML (2023)
Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery. CoRR (2023)
Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein
Seeing in Words: Learning to Classify through Language Bottlenecks. CoRR (2023)
Junde Chen, Yuxin Wen, Yaser Ahangari Nanehkaran, Md Suzauddola, Weirong Chen, Defu Zhang
Machine learning techniques for stock price prediction and graphic signal recognition. Eng. Appl. Artif. Intell. 121 (2023)
Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping-yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, Tom Goldstein
Baseline Defenses for Adversarial Attacks Against Aligned Language Models. CoRR (2023)
Junde Chen, Xiaofang Deng, Yuxin Wen, Weirong Chen, Adnan Zeb, Defu Zhang
Weakly-supervised learning method for the recognition of potato leaf diseases. Artif. Intell. Rev. 56 (8) (2023)
Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein
Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images. NeurIPS (2023)
Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery. NeurIPS (2023)
Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries. ICLR (2023)
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein
A Watermark for Large Language Models. CoRR (2023)
Liam H. Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojciech Czaja, Micah Goldblum, Tom Goldstein
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. ICLR (2023)
Neel Jain, Khalid Saifullah, Yuxin Wen, John Kirchenbauer, Manli Shu, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein
Bring Your Own Data! Self-Supervised Evaluation for Large Language Models. CoRR (2023)
Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein
NEFTune: Noisy Embeddings Improve Instruction Finetuning. CoRR (2023)
Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. CoRR (2022)
Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia
Geometry-Aware Generation of Adversarial Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao
MtCut: A Multi-Task Framework for Ranked List Truncation. WSDM (2022)
Yuxin Wen, Jonas Geiping, Liam Fowl, Hossein Souri, Rama Chellappa, Micah Goldblum, Tom Goldstein
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning. CoRR (2022)
Zhangjin Huang, Yuxin Wen, Zihao Wang, Jinjuan Ren, Kui Jia
Surface Reconstruction from Point Clouds: A Survey and a Benchmark. CoRR (2022)
Liam Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojtek Czaja, Micah Goldblum, Tom Goldstein
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. CoRR (2022)
Yuxin Wen, Arpit Bansal, Hamid Kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries. CoRR (2022)
Rahul Soangra, Yuxin Wen, Hualin Yang, Marybeth Grant-Beuttler
Classifying Toe Walking Gait Patterns Among Children Diagnosed With Idiopathic Toe Walking Using Wearable Sensors and Machine Learning Algorithms. IEEE Access 10 (2022)
Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. ICML (2022)
Md Fashiar Rahman, Tzu-Liang (Bill) Tseng, Jianguo Wu, Yuxin Wen, Yirong Lin
A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection. Artif. Intell. Eng. Des. Anal. Manuf. 36 (2022)
Shuai Li, Kui Jia, Yuxin Wen, Tongliang Liu, Dacheng Tao
Orthogonal Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Siddharth Solaiyappan, Yuxin Wen
Machine Learning based Medical Image Deepfake Detection: A Comparative Study. CoRR (2021)
Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds. CVPR (2021)
Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia
Deep Optimized Priors for 3D Shape Modeling and Reconstruction. CVPR (2021)
Yuanyuan Gao, Yuxin Wen, Jianguo Wu
A Neural Network-Based Joint Prognostic Model for Data Fusion and Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Yuxin Wen, Donna AlHakeem, Paras Mandal, Shantanu Chakraborty, Yuan-Kang Wu, Tomonobu Senjyu, Sumit Paudyal, Tzu-Liang Tseng
Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty. IEEE Trans. Neural Networks Learn. Syst. 31 (4) (2020)
Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds. CoRR (2020)
Yuxin Wen, Shuai Li, Kui Jia
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. ICML (2020)
Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia
Deep Optimized Priors for 3D Shape Modeling and Reconstruction. CoRR (2020)
Yuxin Wen, Shuai Li, Kui Jia
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks. CoRR (2020)
Kui Jia, Shuai Li, Yuxin Wen, Tongliang Liu, Dacheng Tao
Orthogonal Deep Neural Networks. CoRR (2019)
Yuxin Wen, Jianguo Wu, Qiang Zhou, Tzu-Liang Tseng
Multiple-Change-Point Modeling and Exact Bayesian Inference of Degradation Signal for Prognostic Improvement. IEEE Trans Autom. Sci. Eng. 16 (2) (2019)
Yuxin Wen, Jizhou Huang, Chongli Zhu, Miao Fan, Ying Li
Learning to Discover Curbside Parking Spaces from Vehicle Trajectories. IEEE BigData (2019)
Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia
Geometry-aware Generation of Adversarial and Cooperative Point Clouds. CoRR (2019)
Yuxin Wen, Jianguo Wu, Devashish Das, Tzu-Liang (Bill) Tseng
Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity. Reliab. Eng. Syst. Saf. 176 (2018)
Yuxin Wen, Jianguo Wu, Yuan Yuan
Multiple-Phase Modeling of Degradation Signal for Condition Monitoring and Remaining Useful Life Prediction. IEEE Trans. Reliab. 66 (3) (2017)