Timezone: »
Contributed Talk: Differentially Private Bias-Term only Fine-tuning of Foundation Models
Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis
Author Information
Zhiqi Bu (Amazon AI)
Yu-Xiang Wang (UC Santa Barbara)
Sheng Zha (Amazon Web Services)
George Karypis (University of Minnesota, Minneapolis)
More from the Same Authors
-
2021 : Instance-dependent Offline Reinforcement Learning: From tabular RL to linear MDPs »
Ming Yin · Yu-Xiang Wang -
2022 : Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy »
Rachel Redberg · Yuqing Zhu · Yu-Xiang Wang -
2022 : Conditional Invariances for Conformer Invariant Protein Representations »
Balasubramaniam Srinivasan · Vassilis Ioannidis · Soji Adeshina · Mayank Kakodkar · George Karypis · Bruno Ribeiro -
2022 : VOTING-BASED APPROACHES FOR DIFFERENTIALLY PRIVATE FEDERATED LEARNING »
Yuqing Zhu · Xiang Yu · Yi-Hsuan Tsai · Francesco Pittaluga · Masoud Faraki · Manmohan Chandraker · Yu-Xiang Wang -
2022 : Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic »
Soumajyoti Sarkar · Saab Mansour · Sailik Sengupta · Sheng Zha · Kaixiang Lin -
2022 : Offline Reinforcement Learning with Closed-Form Policy Improvement Operators »
Jiachen Li · Edwin Zhang · Ming Yin · Qinxun Bai · Yu-Xiang Wang · William Yang Wang -
2022 : Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data »
Sunil Madhow · Dan Qiao · Yu-Xiang Wang -
2022 : Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation »
Dan Qiao · Yu-Xiang Wang -
2022 : Differentially Private Gradient Boosting on Linear Learners for Tabular Data »
Saeyoung Rho · Shuai Tang · Sergul Aydore · Michael Kearns · Aaron Roth · Yu-Xiang Wang · Steven Wu · Cedric Archambeau -
2022 : Differentially Private Bias-Term only Fine-tuning of Foundation Models »
Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis -
2022 : Variational Causal Inference »
Yulun Wu · Layne Price · Zichen Wang · Vassilis Ioannidis · Rob Barton · George Karypis -
2022 : Sequence-Graph Duality: Unifying User Modeling with Self-Attention for Sequential Recommendation »
Zeren Shui · Ge Liu · Anoop Deoras · George Karypis -
2023 : Provable Robust Watermarking for AI-Generated Text »
Xuandong Zhao · Prabhanjan Ananth · Lei Li · Yu-Xiang Wang -
2023 : Bi-Directional Goal-Conditioning on Single Value Function for State Space Search Problems »
Vihaan Akshaay Rajendiran · Yu-Xiang Wang · Lei Li -
2023 : Online Feature Updates Improve Online (Generalized) Label Shift Adaptation »
Ruihan Wu · Siddhartha Datta · Yi Su · Dheeraj Baby · Yu-Xiang Wang · Kilian Weinberger -
2023 : Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer »
Qingru Zhang · Dhananjay Ram · Cole Hawkins · Sheng Zha · Tuo Zhao -
2023 : Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks »
Zixuan Zhang · Kaiqi Zhang · Minshuo Chen · Yuma Takeda · Mengdi Wang · Tuo Zhao · Yu-Xiang Wang -
2023 : MoXCo:How I learned to stop exploring and love my local minima? »
Esha Singh · Shoham Sabach · Yu-Xiang Wang -
2023 : Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation (Workshop Version) »
Jiachen (Tianhao) Wang · Yuqing Zhu · Yu-Xiang Wang · Ruoxi Jia · Prateek Mittal -
2023 Poster: Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger »
Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis -
2023 Poster: Large Language Models of Code Fail at Completing Code with Potential Bugs »
Tuan Dinh · Jinman Zhao · Samson Tan · Renato Negrinho · Leonard Lausen · Sheng Zha · George Karypis -
2023 Poster: Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation »
Nikki Lijing Kuang · Ming Yin · Mengdi Wang · Yu-Xiang Wang · Yian Ma -
2023 Poster: Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms »
Dheeraj Baby · Saurabh Garg · Tzu-Ching Yen · Sivaraman Balakrishnan · Zachary Lipton · Yu-Xiang Wang -
2023 Poster: Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners »
Rachel Redberg · Antti Koskela · Yu-Xiang Wang -
2023 Poster: A Privacy-Friendly Approach to Data Valuation »
Jiachen (Tianhao) Wang · Yuqing Zhu · Yu-Xiang Wang · Ruoxi Jia · Prateek Mittal -
2023 Poster: HyTrel: Hypergraph-enhanced Tabular Data Representation Learning »
Pei Chen · Soumajyoti Sarkar · Leonard Lausen · Balasubramaniam Srinivasan · Sheng Zha · Ruihong Huang · George Karypis -
2023 Poster: Offline Reinforcement Learning with Differential Privacy »
Dan Qiao · Yu-Xiang Wang -
2022 : Panel on Privacy and Security in Machine Learning Systems »
Graham Cormode · Borja Balle · Yu-Xiang Wang · Alejandro Saucedo · Neil Lawrence -
2022 : Practical differential privacy »
Yu-Xiang Wang · Fariba Yousefi -
2022 : Practical differential privacy »
Yu-Xiang Wang -
2022 Poster: SeqPATE: Differentially Private Text Generation via Knowledge Distillation »
Zhiliang Tian · Yingxiu Zhao · Ziyue Huang · Yu-Xiang Wang · Nevin L. Zhang · He He -
2022 Poster: Differentially Private Linear Sketches: Efficient Implementations and Applications »
Fuheng Zhao · Dan Qiao · Rachel Redberg · Divyakant Agrawal · Amr El Abbadi · Yu-Xiang Wang -
2022 Poster: Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties »
Zeren Shui · Daniel Karls · Mingjian Wen · ilia Nikiforov · Ellad Tadmor · George Karypis -
2022 Poster: Optimal Dynamic Regret in LQR Control »
Dheeraj Baby · Yu-Xiang Wang -
2022 Poster: Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy »
Zhiqi Bu · Jialin Mao · Shiyun Xu -
2021 Workshop: Privacy in Machine Learning (PriML) 2021 »
Yu-Xiang Wang · Borja Balle · Giovanni Cherubin · Kamalika Chaudhuri · Antti Honkela · Jonathan Lebensold · Casey Meehan · Mi Jung Park · Adrian Weller · Yuqing Zhu -
2021 Poster: Fast and Memory Efficient Differentially Private-SGD via JL Projections »
Zhiqi Bu · Sivakanth Gopi · Janardhan Kulkarni · Yin Tat Lee · Judy Hanwen Shen · Uthaipon Tantipongpipat -
2020 : Poster Session 3 (gather.town) »
Denny Wu · Chengrun Yang · Tolga Ergen · sanae lotfi · Charles Guille-Escuret · Boris Ginsburg · Hanbake Lyu · Cong Xie · David Newton · Debraj Basu · Yewen Wang · James Lucas · MAOJIA LI · Lijun Ding · Jose Javier Gonzalez Ortiz · Reyhane Askari Hemmat · Zhiqi Bu · Neal Lawton · Kiran Thekumparampil · Jiaming Liang · Lindon Roberts · Jingyi Zhu · Dongruo Zhou -
2020 Workshop: Privacy Preserving Machine Learning - PriML and PPML Joint Edition »
Borja Balle · James Bell · AurĂ©lien Bellet · Kamalika Chaudhuri · Adria Gascon · Antti Honkela · Antti Koskela · Casey Meehan · Olga Ohrimenko · Mi Jung Park · Mariana Raykova · Mary Anne Smart · Yu-Xiang Wang · Adrian Weller -
2020 Poster: The Complete Lasso Tradeoff Diagram »
Hua Wang · Yachong Yang · Zhiqi Bu · Weijie Su -
2020 Spotlight: The Complete Lasso Tradeoff Diagram »
Hua Wang · Yachong Yang · Zhiqi Bu · Weijie Su -
2019 Poster: Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing »
Zhiqi Bu · Jason Klusowski · Cynthia Rush · Weijie Su