Ruoxi Jia
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
17
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | 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, Naren Ramakrishnan |
| 2026 | EACL | MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling. | Qian Wang, Ziqi Huang, Ruoxi Jia, Paul Debevec, Ning Yu |
| 2026 | WACV | Concord: Concept-Informed Diffusion for Dataset Distillation. | Jianyang Gu, Haonan Wang, Ruoxi Jia, Saeed Vahidian, Vyacheslav Kungurtsev, Wei Jiang, Yiran Chen |
| 2025 | CCS | AISec '25: 18th ACM Workshop on Artificial Intelligence and Security. | Maura Pintor, Matthew Jagielski, Ruoxi Jia |
| 2025 | CVPR | Detecting Adversarial Data Using Perturbation Forgery. | Qian Wang, Chen Li, Yuchen Luo, Hefei Ling, Shijuan Huang, Ruoxi Jia, Ning Yu |
| 2025 | EMNLP | Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls. | Feiyang Kang, Newsha Ardalani, Michael Kuchnik, Youssef Emad, Mostafa Elhoushi, Shubhabrata Sengupta, Shang-wen Li, Ramya Raghavendra, Ruoxi Jia, Carole-Jean Wu |
| 2025 | EMNLP | Retracing the Past: LLMs Emit Training Data When They Get Lost. | Myeongseob Ko, Nikhil Reddy Billa, Adam Nguyen, Charles Fleming, Ming Jin, Ruoxi Jia |
| 2025 | ICCV | Efficient Input-Level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation. | Shengfang Zhai, Jiajun Li, Yue Liu, Huanran Chen, Zhihua Tian, Wenjie Qu, Qingni Shen, Ruoxi Jia, Yinpeng Dong, Jiaheng Zhang |
| 2025 | ICLR | AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories. | Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li |
| 2025 | ICLR | Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data. | Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar S. Vullikanti, Sheng Li |
| 2025 | ICLR | LLMs Can Plan Only If We Tell Them. | Bilgehan Sel, Ruoxi Jia, Ming Jin |
| 2025 | ICLR | Data Shapley in One Training Run. | Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia |
| 2025 | ICLR | Capturing the Temporal Dependence of Training Data Influence. | Jiachen T. Wang, Dawn Song, James Zou, Prateek Mittal, Ruoxi Jia |
| 2025 | ICLR | SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal. | Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal |
| 2025 | ICML | Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning. | Mahavir Dabas, Si Chen, Charles Fleming, Ming Jin, Ruoxi Jia |
| 2025 | ICML | LLMs Can Reason Faster Only If We Let Them. | Bilgehan Sel, Lifu Huang, Naren Ramakrishnan, Ruoxi Jia, Ming Jin |
| 2025 | NAACL | DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking. | Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia |
| 2024 | ACL | How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs. | Yi Zeng, Hongpeng Lin, Jingwen Zhang, Diyi Yang, Ruoxi Jia, Weiyan Shi |
| 2024 | ACL | Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs. | Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin |
| 2024 | AISTATS | Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. | Jiachen T. Wang, Prateek Mittal, Ruoxi Jia |
| 2024 | CVPR | The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes. | Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia |
| 2024 | EMNLP | BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models. | Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia |
| 2024 | EMNLP | FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation. | Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia |
| 2024 | EMNLP | Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? | Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu |
| 2024 | ICLR | Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs. | Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia |
| 2024 | ICLR | Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! | Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson |
| 2024 | ICML | 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, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson |
| 2024 | ICML | Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. | Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Ruoxi Jia, Ming Jin |
| 2024 | ICML | Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits. | Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia |
| 2024 | ICML | RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content. | Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li |
| 2024 | UAI | Learning to Rank for Active Learning via Multi-Task Bilevel Optimization. | Zixin Ding, Si Chen, Ruoxi Jia, Yuxin Chen |
| 2023 | AAAI | On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. | Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia |
| 2023 | AISTATS | Data Banzhaf: A Robust Data Valuation Framework for Machine Learning. | Jiachen T. Wang, Ruoxi Jia |
| 2023 | CCS | Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. | Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia |
| 2023 | ICCV | Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. | Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia |
| 2023 | ICLR | LAVA: Data Valuation without Pre-Specified Learning Algorithms. | Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia |
| 2023 | ICLR | Towards Robustness Certification Against Universal Perturbations. | Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia |
| 2023 | ICML | Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. | Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou |
| 2023 | ICML | 2D-Shapley: A Framework for Fragmented Data Valuation. | Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia |
| 2023 | RAID | 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, Anoop Kumar, Ruoxi Jia |
| 2022 | CVPR | Label-Only Model Inversion Attacks via Boundary Repulsion. | Mostafa Kahla, Si Chen, Hoang Anh Just, Ruoxi Jia |
| 2022 | EMNLP | Just Fine-tune Twice: Selective Differential Privacy for Large Language Models. | Weiyan Shi, Ryan Shea, Si Chen, Chiyuan Zhang, Ruoxi Jia, Zhou Yu |
| 2022 | ICLR | Adversarial Unlearning of Backdoors via Implicit Hypergradient. | Yi Zeng, Si Chen, Won Park, Zhuoqing Mao, Ming Jin, Ruoxi Jia |
| 2022 | NAACL | Selective Differential Privacy for Language Modeling. | Weiyan Shi, Aiqi Cui, Evan Li, Ruoxi Jia, Zhou Yu |
| 2021 | AAAI | Improving Robustness to Model Inversion Attacks via Mutual Information Regularization. | Tianhao Wang, Yuheng Zhang, Ruoxi Jia |
| 2021 | AsiaCCS | REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data. | Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song |
| 2021 | CVPR | Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? | Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song |
| 2021 | ICCV | Knowledge-Enriched Distributional Model Inversion Attacks. | Si Chen, Mostafa Kahla, Ruoxi Jia, Guo-Jun Qi |
| 2021 | ICCV | Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective. | Yi Zeng, Won Park, Z. Morley Mao, Ruoxi Jia |
| 2021 | ICLR | InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective. | Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu |
| 2020 | CVPR | The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. | Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song |
| 2020 | ICLR | Robust anomaly detection and backdoor attack detection via differential privacy. | Min Du, Ruoxi Jia, Dawn Song |
| 2019 | AISTATS | Towards Efficient Data Valuation Based on the Shapley Value. | Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Grel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos |
| 2017 | SENSYS | PAD: protecting anonymity in publishing building related datasets. | Ruoxi Jia, Fisayo Caleb Sangogboye, Tianzhen Hong, Costas J. Spanos, Mikkel Baun Kjrgaard |
| 2017 | SENSYS | Privacy-preserving building-related data publication using PAD. | Ruoxi Jia, Fisayo Caleb Sangogboye, Tianzhen Hong, Costas J. Spanos, Mikkel Baun Kjrgaard |
| 2015 | SENSYS | Poster Abstract: MapSentinel: Map-Aided Non-intrusive Indoor Tracking in Sensor-Rich Environments. | Ruoxi Jia, Ming Jin, Han Zou, Yigitcan Yesilata, Lihua Xie, Costas J. Spanos |
| 2014 | IECON | Environmental sensing by wearable device for indoor activity and location estimation. | Ming Jin, Han Zou, Kevin Weekly, Ruoxi Jia, Alexandre M. Bayen, Costas J. Spanos |
| 2014 | SENSYS | PresenceSense: zero-training algorithm for individual presence detection based on power monitoring. | Ming Jin, Ruoxi Jia, Zhaoyi Kang, Ioannis C. Konstantakopoulos, Costas J. Spanos |