Environmental sensing by wearable device for indoor activity and location estimation. - Ming Jin 002; Han Zou; Kevin Weekly; Ruoxi Jia 001; Alexandre M. Bayen; Costas J. Spanos (IECON, 2014)

PresenceSense: zero-training algorithm for individual presence detection based on power monitoring. - Ming Jin 002; Ruoxi Jia 001; Zhaoyi Kang; Ioannis C. Konstantakopoulos; Costas J. Spanos (BuildSys, 2014)

SoundLoc: Acoustic Method for Indoor Localization without Infrastructure. - Ruoxi Jia 001; Ming Jin 002; Costas J. Spanos (CoRR, 2014)

SoundLoc: Accurate room-level indoor localization using acoustic signatures. - Ruoxi Jia 001; Ming Jin 002; Zilong Chen; Costas J. Spanos (CASE, 2015)

Poster Abstract: MapSentinel: Map-Aided Non-intrusive Indoor Tracking in Sensor-Rich Environments. - Ruoxi Jia 001; Ming Jin 002; Han Zou; Yigitcan Yesilata; Lihua Xie 001; Costas J. Spanos (BuildSys, 2015)

A fully unsupervised non-intrusive load monitoring framework. - Ruoxi Jia 001; Yang Gao; Costas J. Spanos (SmartGridComm, 2015)

MapSentinel: Can the Knowledge of Space Use Improve Indoor Tracking Further? - Ruoxi Jia 001; Ming Jin 002; Han Zou; Yigitcan Yesilata; Lihua Xie 001; Costas J. Spanos (Sensors, 2016)

Towards a theory of free-lunch privacy in cyber-physical systems. - Ruoxi Jia 001; Roy Dong; Prashanth Ganesh; Shankar Sastry 001; Costas J. Spanos (Allerton, 2017)

Optimal sensor-controller codesign for privacy in dynamical systems. - Ruoxi Jia 001; Roy Dong; Shankar Sastry 001; Costas J. Spanos (CDC, 2017)

Privacy-enhanced architecture for occupancy-based HVAC Control. - Ruoxi Jia 001; Roy Dong; S. Shankar Sastry; Costas J. Spanos (ICCPS, 2017)

PAD: protecting anonymity in publishing building related datasets. - Ruoxi Jia 001; Fisayo Caleb Sangogboye; Tianzhen Hong; Costas J. Spanos; Mikkel Baun Kjærgaard (BuildSys, 2017)

Privacy-preserving building-related data publication using PAD. - Ruoxi Jia 001; Fisayo Caleb Sangogboye; Tianzhen Hong; Costas J. Spanos; Mikkel Baun Kjærgaard (BuildSys, 2017)

Virtual Occupancy Sensing: Using Smart Meters to Indicate Your Presence. - Ming Jin 002; Ruoxi Jia 001; Costas J. Spanos (IEEE Trans. Mob. Comput., 2017)

Poisoning Attacks on Data-Driven Utility Learning in Games. - Ruoxi Jia 001; Ioannis C. Konstantakopoulos; Bo Li 026; Costas J. Spanos (ACC, 2018)

The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity. - Gerald Friedland; Jingkang Wang; Ruoxi Jia 001; Bo Li 026 (CoRR, 2018)

One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy. - Jingkang Wang; Ruoxi Jia 001; Gerald Friedland; Bo Li 026; Costas J. Spanos (CoRR, 2018)

Design Automation for Smart Building Systems. - Ruoxi Jia 001; Baihong Jin; Ming Jin 002; Yuxun Zhou; Ioannis C. Konstantakopoulos; Han Zou; Joyce Kim; Dan Li 016; Weixi Gu; Reza Arghandeh; Pierluigi Nuzzo 002; Stefano Schiavon; et al. (Proc. IEEE, 2018)

A Framework for Privacy-Preserving Data Publishing with Enhanced Utility for Cyber-Physical Systems. - Fisayo Caleb Sangogboye; Ruoxi Jia 001; Tianzhen Hong; Costas J. Spanos; Mikkel Baun Kjærgaard (ACM Trans. Sens. Networks, 2018)

Accountable Data Fusion and Privacy Preservation Techniques in Cyber-Physical Systems. - Ruoxi Jia 001 (2018)

Towards Efficient Data Valuation Based on the Shapley Value. - Ruoxi Jia 001; David Dao; Boxin Wang; Frances Ann Hubis; Nick Hynes; Nezihe Merve Gürel; Bo Li 026; Ce Zhang 001; Dawn Song; Costas J. Spanos (AISTATS, 2019)

An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms. - Ruoxi Jia 001; Xuehui Sun; Jiacen Xu; Ce Zhang 001; Bo Li 026; Dawn Song (CoRR, 2019)

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. - Ruoxi Jia 001; David Dao; Boxin Wang; Frances Ann Hubis; Nezihe Merve Gürel; Bo Li 026; Ce Zhang 001; Costas J. Spanos; Dawn Song (Proc. VLDB Endow., 2019)

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. - Yuheng Zhang; Ruoxi Jia 001; Hengzhi Pei; Wenxiao Wang 002; Bo Li 026; Dawn Song (CVPR, 2020)

Robust anomaly detection and backdoor attack detection via differential privacy. - Min Du 003; Ruoxi Jia 001; Dawn Song (ICLR, 2020)

On the Impact of Perceptual Compression on Deep Learning. - Gerald Friedland; Ruoxi Jia 001; Jingkang Wang; Bo Li 026; T. Nathan Mundhenk (MIPR, 2020)

Private Distributed Mean Estimation. - Lun Wang 001; Ruoxi Jia 001 (CoRR, 2020)

A Principled Approach to Data Valuation for Federated Learning. - Tianhao Wang 013; Johannes Rausch; Ce Zhang 001; Ruoxi Jia 001; Dawn Song (CoRR, 2020)

Improved Techniques for Model Inversion Attacks. - Si Chen 008; Ruoxi Jia 001; Guo-Jun Qi (CoRR, 2020)

A Principled Approach to Data Valuation for Federated Learning. - Tianhao Wang 013; Johannes Rausch; Ce Zhang 001; Ruoxi Jia 001; Dawn Song (Federated Learning, 2020)

Improving Robustness to Model Inversion Attacks via Mutual Information Regularization. - Tianhao Wang 013; Yuheng Zhang; Ruoxi Jia 001 (AAAI, 2021)

REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data. - Xinyun Chen; Wenxiao Wang 002; Chris Bender; Yiming Ding; Ruoxi Jia 001; Bo Li 026; Dawn Song (AsiaCCS, 2021)

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? - Ruoxi Jia 001; Fan Wu 011; Xuehui Sun; Jiacen Xu; David Dao; Bhavya Kailkhura; Ce Zhang 001; Bo Li 026; Dawn Song (CVPR, 2021)

Knowledge-Enriched Distributional Model Inversion Attacks. - Si Chen 008; Mostafa Kahla; Ruoxi Jia 001; Guo-Jun Qi (ICCV, 2021)

Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective. - Yi Zeng 005; Won Park; Z. Morley Mao; Ruoxi Jia 001 (ICCV, 2021)

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. - Boxin Wang; Shuohang Wang; Yu Cheng 001; Zhe Gan; Ruoxi Jia 001; Bo Li 026; Jingjing Liu 001 (ICLR, 2021)

One-Round Active Learning. - Tianhao Wang 013; Si Chen 008; Ruoxi Jia 001 (CoRR, 2021)

A Unified Framework for Task-Driven Data Quality Management. - Tianhao Wang 013; Yi Zeng 005; Ming Jin 002; Ruoxi Jia 001 (CoRR, 2021)

Learnability of Learning Performance and Its Application to Data Valuation. - Tianhao Wang 013; Yu Yang 011; Ruoxi Jia 001 (CoRR, 2021)

Zero-Round Active Learning. - Si Chen 008; Tianhao Wang 013; Ruoxi Jia 001 (CoRR, 2021)

Learning to Refit for Convex Learning Problems. - Yingyan Zeng; Tianhao Wang 013; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (CoRR, 2021)

Stability-Based Analysis and Defense against Backdoor Attacks on Edge Computing Services. - Yi Zhao 011; Ke Xu 002; Haiyang Wang; Bo Li 026; Ruoxi Jia 001 (IEEE Netw., 2021)

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing. - Wenxiao Wang 002; Tianhao Wang 013; Lun Wang 001; Nanqing Luo; Pan Zhou; Dawn Song; Ruoxi Jia 001 (Proc. Priv. Enhancing Technol., 2021)

Label-Only Model Inversion Attacks via Boundary Repulsion. - Mostafa Kahla; Si Chen 008; Hoang Anh Just; Ruoxi Jia 001 (CVPR, 2022)

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models. - Weiyan Shi; Ryan Shea; Si Chen 008; Chiyuan Zhang; Ruoxi Jia 001; Zhou Yu (EMNLP, 2022)

Adversarial Unlearning of Backdoors via Implicit Hypergradient. - Yi Zeng 005; Si Chen 008; Won Park; Zhuoqing Mao 001; Ming Jin 002; Ruoxi Jia 001 (ICLR, 2022)

Selective Differential Privacy for Language Modeling. - Weiyan Shi; Aiqi Cui; Evan Li; Ruoxi Jia 001; Zhou Yu (NAACL-HLT, 2022)

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. - Xuanli He; Qiongkai Xu; Yi Zeng 005; Lingjuan Lyu; Fangzhao Wu; Jiwei Li 001; Ruoxi Jia 001 (NeurIPS, 2022)

Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning. - Jiachen T. Wang; Saeed Mahloujifar; Shouda Wang; Ruoxi Jia 001; Prateek Mittal (NeurIPS, 2022)

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models. - Weiyan Shi; Si Chen 008; Chiyuan Zhang; Ruoxi Jia 001; Zhou Yu (CoRR, 2022)

QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models. - Jie Zhang 081; Chen Chen 043; Jiahua Dong 001; Ruoxi Jia 001; Lingjuan Lyu (CoRR, 2022)

Data Banzhaf: A Data Valuation Framework with Maximal Robustness to Learning Stochasticity. - Tianhao Wang 013; Ruoxi Jia 001 (CoRR, 2022)

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? - Yi Zeng 005; Minzhou Pan; Himanshu Jahagirdar; Ming Jin 002; Lingjuan Lyu; Ruoxi Jia 001 (CoRR, 2022)

Private Data Valuation and Fair Payment in Data Marketplaces. - Zhihua Tian; Jian Liu 012; Jingyu Li; Xinle Cao; Ruoxi Jia 001; Kui Ren 001 (CoRR, 2022)

Robust Data Valuation via Variance Reduced Data Shapley. - Mengmeng Wu; Ruoxi Jia 001; Changle Lin; Wei Huang 031; Xiangyu Chang (CoRR, 2022)

On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. - Ming Jin 002; Vanshaj Khattar; Harshal Kaushik; Bilgehan Sel; Ruoxi Jia 001 (AAAI, 2023)

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning. - Jiachen T. Wang; Ruoxi Jia 001 (AISTATS, 2023)

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. - Yi Zeng 005; Minzhou Pan; Hoang Anh Just; Lingjuan Lyu; Meikang Qiu; Ruoxi Jia 001 (CCS, 2023)

Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. - Myeongseob Ko; Ming Jin 002; Chenguang Wang 001; Ruoxi Jia 001 (ICCV, 2023)

LAVA: Data Valuation without Pre-Specified Learning Algorithms. - Hoang Anh Just; Feiyang Kang; Tianhao Wang 013; Yi Zeng 005; Myeongseob Ko; Ming Jin 002; Ruoxi Jia 001 (ICLR, 2023)

Towards Robustness Certification Against Universal Perturbations. - Yi Zeng 005; Zhouxing Shi; Ming Jin 002; Feiyang Kang; Lingjuan Lyu; Cho-Jui Hsieh; Ruoxi Jia 001 (ICLR, 2023)

Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. - Junyuan Hong; Yi Zeng 005; Shuyang Yu; Lingjuan Lyu; Ruoxi Jia 001; Jiayu Zhou (ICML, 2023)

2D-Shapley: A Framework for Fragmented Data Valuation. - Zhihong Liu; Hoang Anh Just; Xiangyu Chang; Xi Chen; Ruoxi Jia 001 (ICML, 2023)

Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold. - Bilgehan Sel; Ahmad Al-Tawaha; Yuhao Ding; Ruoxi Jia 001; Bo Ji 001; Javad Lavaei; Ming Jin 002 (L4DC, 2023)

Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources. - Feiyang Kang; Hoang Anh Just; Anit Kumar Sahu; Ruoxi Jia 001 (NeurIPS, 2023)

A Privacy-Friendly Approach to Data Valuation. - Jiachen T. Wang; Yuqing Zhu 005; Yu-Xiang Wang 003; Ruoxi Jia 001; Prateek Mittal (NeurIPS, 2023)

A Randomized Approach to Tight Privacy Accounting. - Jiachen T. Wang; Saeed Mahloujifar; Tong Wu; Ruoxi Jia 001; Prateek Mittal (NeurIPS, 2023)

PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models. - Myeongseob Ko; Xinyu Yang; Zhengjie Ji; Hoang Anh Just; Peng Gao 008; Anoop Kumar; Ruoxi Jia 001 (RAID, 2023)

ModelPred: A Framework for Predicting Trained Model from Training Data. - Yingyan Zeng; Jiachen T. Wang; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (SaTML, 2023)

ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms. - Minzhou Pan; Yi Zeng 005; Lingjuan Lyu; Xue Lin 001; Ruoxi Jia 001 (USENIX Security Symposium, 2023)

Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning? - Yi Zeng 005; Minzhou Pan; Himanshu Jahagirdar; Ming Jin 002; Lingjuan Lyu; Ruoxi Jia 001 (USENIX Security Symposium, 2023)

A Note on "Towards Efficient Data Valuation Based on the Shapley Value". - Jiachen T. Wang; Ruoxi Jia 001 (CoRR, 2023)

A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms". - Jiachen T. Wang; Ruoxi Jia 001 (CoRR, 2023)

A Randomized Approach for Tight Privacy Accounting. - Jiachen T. Wang; Saeed Mahloujifar; Tong Wu; Ruoxi Jia 001; Prateek Mittal (CoRR, 2023)

LAVA: Data Valuation without Pre-Specified Learning Algorithms. - Hoang Anh Just; Feiyang Kang; Jiachen T. Wang; Yi Zeng 005; Myeongseob Ko; Ming Jin 002; Ruoxi Jia 001 (CoRR, 2023)

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. - Bilgehan Sel; Ahmad Al-Tawaha; Vanshaj Khattar; Lu Wang 029; Ruoxi Jia 001; Ming Jin 002 (CoRR, 2023)

Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation. - Jiachen T. Wang; Yuqing Zhu 005; Yu-Xiang Wang 003; Ruoxi Jia 001; Prateek Mittal (CoRR, 2023)

Data Acquisition: A New Frontier in Data-centric AI. - Lingjiao Chen; Bilge Acun; Newsha Ardalani; Yifan Sun 010; Feiyang Kang; Hanrui Lyu; Yongchan Kwon; Ruoxi Jia 001; Carole-Jean Wu; Matei Zaharia; James Zou 001 (CoRR, 2023)

Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning. - Shuyang Yu; Junyuan Hong; Yi Zeng 005; Fei Wang; Ruoxi Jia 001; Jiayu Zhou (CoRR, 2023)

Certifiably Robust Neural ODE With Learning-Based Barrier Function. - Runing Yang; Ruoxi Jia 001; Xiangyu Zhang 010; Ming Jin 002 (IEEE Control. Syst. Lett., 2023)

Turning a Curse into a Blessing: Enabling In-Distribution-Data-Free Backdoor Removal via Stabilized Model Inversion. - Si Chen 008; Yi Zeng 005; Won Park; Jiachen T. Wang; Xun Chen; Lingjuan Lyu; Zhuoqing Mao 001; Ruoxi Jia 001 (Trans. Mach. Learn. Res., 2023)

One-Round Active Learning through Data Utility Learning and Proxy Models. - Jiachen T. Wang; Si Chen 008; Ruoxi Jia 001 (Trans. Mach. Learn. Res., 2023)

Variance reduced Shapley value estimation for trustworthy data valuation. - Mengmeng Wu; Ruoxi Jia 001; Changle Lin; Wei Huang 031; Xiangyu Chang (Comput. Oper. Res., 2023)

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs. - Yi Zeng 005; Hongpeng Lin; Jingwen Zhang; Diyi Yang; Ruoxi Jia 001; Weiyan Shi (ACL (1), 2024)

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs. - Bilgehan Sel; Priya Shanmugasundaram; Mohammad Kachuee; Kun Zhou; Ruoxi Jia 001; Ming Jin 002 (ACL (1), 2024)

Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. - Jiachen T. Wang; Prateek Mittal; Ruoxi Jia 001 (AISTATS, 2024)

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes. - Myeongseob Ko; Feiyang Kang; Weiyan Shi; Ming Jin 002; Zhou Yu; Ruoxi Jia 001 (CVPR, 2024)

BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models. - Yi Zeng 005; Weiyu Sun; Tran Ngoc Huynh; Dawn Song; Bo Li 026; Ruoxi Jia 001 (EMNLP, 2024)

FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation. - Si Chen 008; Feiyang Kang; Ning Yu; Ruoxi Jia 001 (EMNLP (Findings), 2024)

Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? - Jianfeng He; Runing Yang; Linlin Yu; Changbin Li; Ruoxi Jia 001; Feng Chen 001; Ming Jin 002; Chang-Tien Lu (EMNLP, 2024)

Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs. - Feiyang Kang; Hoang Anh Just; Yifan Sun 010; Himanshu Jahagirdar; Yuanzhi Zhang; Rongxing Du; Anit Kumar Sahu; Ruoxi Jia 001 (ICLR, 2024)

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! - Xiangyu Qi; Yi Zeng 005; Tinghao Xie; Pin-Yu Chen; Ruoxi Jia 001; Prateek Mittal; Peter Henderson 002 (ICLR, 2024)

Position: A Safe Harbor for AI Evaluation and Red Teaming. - Shayne Longpre; Sayash Kapoor; Kevin Klyman; Ashwin Ramaswami; Rishi Bommasani; Borhane Blili-Hamelin; Yangsibo Huang; Aviya Skowron; Zheng Xin Yong; Suhas Kotha; Yi Zeng 005; Weiyan Shi; et al. (ICML, 2024)

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. - Bilgehan Sel; Ahmad Al-Tawaha; Vanshaj Khattar; Ruoxi Jia 001; Ming Jin 002 (ICML, 2024)

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits. - Jiachen T. Wang; Tianji Yang; James Zou 001; Yongchan Kwon; Ruoxi Jia 001 (ICML, 2024)

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content. - Zhuowen Yuan; Zidi Xiong; Yi Zeng 005; Ning Yu; Ruoxi Jia 001; Dawn Song; Bo Li 026 (ICML, 2024)

Fairness-Aware Meta-Learning via Nash Bargaining. - Yi Zeng 005; Xuelin Yang; Li Chen; Cristian Canton Ferrer; Ming Jin 002; Michael I. Jordan; Ruoxi Jia 001 (NeurIPS, 2024)

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models. - Myeongseob Ko; Henry Li; Zhun Wang; Jonathan Patsenker; Jiachen T. Wang; Qinbin Li; Ming Jin 002; Dawn Song; Ruoxi Jia 001 (NeurIPS, 2024)

GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration. - Jiachen T. Wang; Tong Wu; Dawn Song; Prateek Mittal; Ruoxi Jia 001 (NeurIPS, 2024)

Learning to Rank for Active Learning via Multi-Task Bilevel Optimization. - Zixin Ding; Si Chen 008; Ruoxi Jia 001; Yuxin Chen (UAI, 2024)

A Safe Harbor for AI Evaluation and Red Teaming. - Shayne Longpre; Sayash Kapoor; Kevin Klyman; Ashwin Ramaswami; Rishi Bommasani; Borhane Blili-Hamelin; Yangsibo Huang; Aviya Skowron; Zheng Xin Yong; Suhas Kotha; Yi Zeng 005; Weiyan Shi; et al. (CoRR, 2024)

Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study. - Chenguang Wang 001; Ruoxi Jia 001; Xin Liu; Dawn Song (CoRR, 2024)

FASTTRACK: Fast and Accurate Fact Tracing for LLMs. - Si Chen 008; Feiyang Kang; Ning Yu; Ruoxi Jia 001 (CoRR, 2024)

AI Risk Management Should Incorporate Both Safety and Security. - Xiangyu Qi; Yangsibo Huang; Yi Zeng 005; Edoardo Debenedetti; Jonas Geiping; Luxi He; Kaixuan Huang; Udari Madhushani; Vikash Sehwag; Weijia Shi; Boyi Wei; Tinghao Xie; et al. (CoRR, 2024)

JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits. - Minzhou Pan; Yi Zeng 005; Xue Lin 001; Ning Yu; Cho-Jui Hsieh; Peter Henderson 002; Ruoxi Jia 001 (CoRR, 2024)

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors. - Tinghao Xie; Xiangyu Qi; Yi Zeng 005; Yangsibo Huang; Udari Madhushani Sehwag; Kaixuan Huang; Luxi He; Boyi Wei; Dacheng Li; Ying Sheng 007; Ruoxi Jia 001; Bo Li 026; et al. (CoRR, 2024)

AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies. - Yi Zeng 005; Kevin Klyman; Andy Zhou; Yu Yang 011; Minzhou Pan; Ruoxi Jia 001; Dawn Song; Percy Liang; Bo Li 026 (CoRR, 2024)

Data-Centric Human Preference Optimization with Rationales. - Hoang Anh Just; Ming Jin 002; Anit Kumar Sahu; Huy Phan; Ruoxi Jia 001 (CoRR, 2024)

AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies. - Yi Zeng 005; Yu Yang 011; Andy Zhou; Jeffrey Ziwei Tan; Yuheng Tu; Yifan Mai 001; Kevin Klyman; Minzhou Pan; Ruoxi Jia 001; Dawn Song; Percy Liang; Bo Li 026 (CoRR, 2024)

Uncertainty Quantification of Data Shapley via Statistical Inference. - Mengmeng Wu; Zhihong Liu; Xiang Li; Ruoxi Jia 001; Xiangyu Chang (CoRR, 2024)

AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs. - Feiyang Kang; Yifan Sun 010; Bingbing Wen; Si Chen 008; Dawn Song; Rafid Mahmood; Ruoxi Jia 001 (CoRR, 2024)

Towards Data Valuation via Asymmetric Data Shapley. - Xi Zheng; Xiangyu Chang; Ruoxi Jia 001; Yong Tan (CoRR, 2024)

A Survey on Data Markets. - Jiayao Zhang 006; Yuran Bi; Mengye Cheng; Jinfei Liu; Kui Ren 001; Qiheng Sun; Yihang Wu; Yang Cao 011; Raul Castro Fernandez; Haifeng Xu; Ruoxi Jia 001; Yongchan Kwon; et al. (CoRR, 2024)

MLAN: Language-Based Instruction Tuning Improves Zero-Shot Generalization of Multimodal Large Language Models. - Jianhong Tu; Zhuohao Ni; Nicholas Crispino; Zihao Yu; Michael Bendersky; Beliz Gunel; Ruoxi Jia 001; Xin Liu; Lingjuan Lyu; Dawn Song; Chenguang Wang 001 (CoRR, 2024)

Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion. - Si Chen 008; Feiyang Kang; Nikhil Abhyankar; Ming Jin 002; Ruoxi Jia 001 (Trans. Mach. Learn. Res., 2024)

Data Valuation in the Absence of a Reliable Validation Set. - Himanshu Jahagirdar; Jiachen T. Wang; Ruoxi Jia 001 (Trans. Mach. Learn. Res., 2024)

Detecting Adversarial Data Using Perturbation Forgery. - Qian Wang; Chen Li; Yuchen Luo; Hefei Ling; Shijuan Huang; Ruoxi Jia 001; Ning Yu (CVPR, 2025)

AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories. - Yi Zeng 005; Yu Yang 011; Andy Zhou; Jeffrey Ziwei Tan; Yuheng Tu; Yifan Mai 001; Kevin Klyman; Minzhou Pan; Ruoxi Jia 001; Dawn Song; Percy Liang; Bo Li 026 (ICLR, 2025)

Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data. - Mengxuan Hu; Zihan Guan 001; Yi Zeng 005; Junfeng Guo; Zhongliang Zhou; Jielu Zhang; Ruoxi Jia 001; Anil Kumar S. Vullikanti; Sheng Li 001 (ICLR, 2025)

LLMs Can Plan Only If We Tell Them. - Bilgehan Sel; Ruoxi Jia 001; Ming Jin 002 (ICLR, 2025)

Data Shapley in One Training Run. - Jiachen T. Wang; Prateek Mittal; Dawn Song; Ruoxi Jia 001 (ICLR, 2025)

Capturing the Temporal Dependence of Training Data Influence. - Jiachen T. Wang; Dawn Song; James Zou 001; Prateek Mittal; Ruoxi Jia 001 (ICLR, 2025)

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal. - Tinghao Xie; Xiangyu Qi; Yi Zeng 005; Yangsibo Huang; Udari Madhushani Sehwag; Kaixuan Huang; Luxi He; Boyi Wei; Dacheng Li; Ying Sheng 007; Ruoxi Jia 001; Bo Li 026; et al. (ICLR, 2025)

DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking. - Hoang Anh Just; Mahavir Dabas; Lifu Huang; Ming Jin 002; Ruoxi Jia 001 (NAACL (Findings), 2025)

Model Residuals as Shields: A Two-Level Formulation to Defend Smart Grids From Poisoning Attacks. - Tung-Wei Lin; Padmaksha Roy; Yi Zeng 005; Ming Jin 002; Ruoxi Jia 001; Chen-Ching Liu; Alberto L. Sangiovanni-Vincentelli (IEEE Internet Things J., 2025)

Safety at Scale: A Comprehensive Survey of Large Model Safety. - Xingjun Ma; Yifeng Gao; Yixu Wang; Ruofan Wang; Xin Wang; Ye Sun; Yifan Ding; Hengyuan Xu; Yunhao Chen; Yunhan Zhao; Hanxun Huang; Yige Li; et al. (CoRR, 2025)

Optimizing Product Provenance Verification using Data Valuation Methods. - Raquib Bin Yousuf; Hoang Anh Just; Shengzhe Xu; Brian Mayer; Victor Deklerck; Jakub Truszkowski; John Simeone; Jade Saunders; Chang-Tien Lu; Ruoxi Jia 001; Naren Ramakrishnan (CoRR, 2025)

NaviDet: Efficient Input-level Backdoor Detection on Text-to-Image Synthesis via Neuron Activation Variation. - Shengfang Zhai; Jiajun Li; Yue Liu 008; Huanran Chen; Zhihua Tian; Wenjie Qu 001; Qingni Shen; Ruoxi Jia 001; Yinpeng Dong; Jiaheng Zhang (CoRR, 2025)

Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models. - Zhihua Tian; Sirun Nan; Ming Xu 002; Shengfang Zhai; Wenjie Qu 001; Jian Liu 012; Kui Ren 001; Ruoxi Jia 001; Jiaheng Zhang (CoRR, 2025)

Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning. - Si Chen 008; Xiao Yu; Ninareh Mehrabi; Rahul Gupta 001; Zhou Yu; Ruoxi Jia 001 (CoRR, 2025)

LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models. - Minqian Liu; Zhiyang Xu; Xinyi Zhang; Heajun An; Sarvech Qadir; Qi Zhang; Pamela J. Wisniewski; Jin-Hee Cho; Sang Won Lee; Ruoxi Jia 001; Lifu Huang (CoRR, 2025)

CONCORD: Concept-Informed Diffusion for Dataset Distillation. - Jianyang Gu; Haonan Wang; Ruoxi Jia 001; Saeed Vahidian; Vyacheslav Kungurtsev; Wei Jiang 009; Yiran Chen 001 (CoRR, 2025)

AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training. - Feiyang Kang; Nadine Chang; Maying Shen; Marc T. Law; Rafid Mahmood; Ruoxi Jia 001; José M. Álvarez 004 (CoRR, 2025)

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning. - Mahavir Dabas; Si Chen 008; Charles Fleming; Ming Jin 002; Ruoxi Jia 001 (CoRR, 2025)

Injecting Measurement Information Yields a Fast and Noise-Robust Diffusion-Based Inverse Problem Solver. - Jonathan Patsenker; Henry Li; Myeongseob Ko; Ruoxi Jia 001; Yuval Kluger (CoRR, 2025)

MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling. - Qian Wang; Ziqi Huang; Ruoxi Jia 001; Paul Debevec; Ning Yu (CoRR, 2025)