| 2026 | ACL | Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks. | Xinhe Wang, Jin Huang, Xingjian Zhang, Tianhao Wang, Jiaqi W. Ma |
| 2026 | NDSS | PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning. | Chen Gong, Zheng Liu, Kecen Li, Tianhao Wang |
| 2026 | NDSS | PrivCode: When Code Generation Meets Differential Privacy. | Zheng Liu, Chen Gong, Terry Yue Zhuo, Kecen Li, Weichen Yu, Matt Fredrikson, Tianhao Wang |
| 2026 | NDSS | ExpShield: Safeguarding Web Text from Unauthorized Crawling and LLM Exploitation. | Ruixuan Liu, Toan Tran, Tianhao Wang, Hongsheng Hu, Shuo Wang, Li Xiong |
| 2026 | NDSS | Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm. | Yan Pang, Wenlong Meng, Xiaojing Liao, Tianhao Wang |
| 2026 | NDSS | Revisiting Differentially Private Hyper-parameter Tuning. | Zihang Xiang, Tianhao Wang, Cheng-Long Wang, Di Wang |
| 2025 | AISTATS | How Well Can Transformers Emulate In-Context Newton's Method? | Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris Papailiopoulos, Jason D. Lee |
| 2025 | CCS | DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis. | Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang |
| 2025 | COLING | Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection. | Ali Riahi Samani, Tianhao Wang, Kangshuo Li, Feng Chen |
| 2025 | ICLR | Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model. | Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang |
| 2025 | ICLR | Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning. | Fengyu Gao, Ruida Zhou, Tianhao Wang, Cong Shen, Jing Yang |
| 2025 | ICLR | Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function. | Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen |
| 2025 | ICML | Structured Preconditioners in Adaptive Optimization: A Unified Analysis. | Shuo Xie, Tianhao Wang, Sashank J. Reddi, Sanjiv Kumar, Zhiyuan Li |
| 2025 | NDSS | Revisiting EM-based Estimation for Locally Differentially Private Protocols. | Yutong Ye, Tianhao Wang, Min Zhang, Dengguo Feng |
| 2025 | NDSS | TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents. | Chen Gong, Kecen Li, Jin Yao, Tianhao Wang |
| 2025 | NDSS | Delay-allowed Differentially Private Data Stream Release. | Xiaochen Li, Zhan Qin, Kui Ren, Chen Gong, Shuya Feng, Yuan Hong, Tianhao Wang |
| 2025 | NDSS | Black-box Membership Inference Attacks against Fine-tuned Diffusion Models. | Yan Pang, Tianhao Wang |
| 2025 | NDSS | Towards Understanding Unsafe Video Generation. | Yan Pang, Aiping Xiong, Yang Zhang, Tianhao Wang |
| 2025 | SMC | Patch-sfp: A Fail-Slow Detection Framework for Cloud Storage Systems. | Jing Li, Tianhao Wang, Jianli Ding |
| 2025 | SP | From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis. | Kecen Li, Chen Gong, Xiaochen Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang |
| 2024 | AAAI | Backdoor Attacks via Machine Unlearning. | Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao |
| 2024 | ACL | Machine Unlearning of Pre-trained Large Language Models. | Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue |
| 2024 | CCS | Benchmarking Secure Sampling Protocols for Differential Privacy. | Yucheng Fu, Tianhao Wang |
| 2024 | CCS | PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. | Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong |
| 2024 | COLT | Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract). | Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang |
| 2024 | EDCC | One Flag to Rule Them All? On the Quest for Compiler Optimizations to Improve Fault Tolerance. | Robin Thunig, Marcel Johannfunke, Tianhao Wang, Horst Schirmeier |
| 2024 | ICASSP | How Phonemes Contribute to Deep Speaker Models? | Pengqi Li, Tianhao Wang, Lantian Li, Askar Hamdulla, Dong Wang |
| 2024 | ICLR | The Marginal Value of Momentum for Small Learning Rate SGD. | Runzhe Wang, Sadhika Malladi, Tianhao Wang, Kaifeng Lyu, Zhiyuan Li |
| 2024 | ICML | Towards Certified Unlearning for Deep Neural Networks. | Binchi Zhang, Yushun Dong, Tianhao Wang, Jundong Li |
| 2024 | IMC | NetDPSyn: Synthesizing Network Traces under Differential Privacy. | Danyu Sun, Joann Qiongna Chen, Chen Gong, Tianhao Wang, Zhou Li |
| 2024 | Interspeech | SE/BN Adapter: Parametric Efficient Domain Adaptation for Speaker Recognition. | Tianhao Wang, Lantian Li, Dong Wang |
| 2024 | SMC | FRD-DST: A Fine-Grained Relation-Driven Model for Dialogue State Tracking. | Yukun Cao, Ming Chen, Jingjing Li, Yuanmin Liu, Tianhao Wang |
| 2024 | SMC | NAEP: Neighborhood Multihead Attention with Evidential Conditional Neural Processes for Few-Shot Knowledge Graph Completion. | Yukun Cao, Jingjing Li, Ming Chen, Luobin Huang, Yuanmin Liu, Tianhao Wang |
| 2024 | SP | Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. | Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang |
| 2024 | SP | Preserving Node-level Privacy in Graph Neural Networks. | Zihang Xiang, Tianhao Wang, Di Wang |
| 2023 | ACSAC | Differentially Private Resource Allocation. | Joann Qiongna Chen, Tianhao Wang, Zhikun Zhang, Yang Zhang, Somesh Jha, Zhou Li |
| 2023 | ACSAC | Mitigating Membership Inference Attacks via Weighted Smoothing. | Mingtian Tan, Xiaofei Xie, Jun Sun, Tianhao Wang |
| 2023 | AISTATS | Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning. | Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang |
| 2023 | CCS | DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. | Minxin Du, Xiang Yue, Sherman S. M. Chow, Tianhao Wang, Chenyu Huang, Huan Sun |
| 2023 | CCS | Securely Sampling Discrete Gaussian Noise for Multi-Party Differential Privacy. | Chengkun Wei, Ruijing Yu, Yuan Fan, Wenzhi Chen, Tianhao Wang |
| 2023 | ICLR | Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? | Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang |
| 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 | ICML | Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation. | Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu |
| 2023 | ICPADS | Deep Learning Cognitive Diagnostic Model Based on State Machines and Knowledge Graphs. | Jin Han, Bingbing Huang, Yao Tang, Tianhao Wang, Linbo Shao |
| 2023 | ICPADS | A feature-matching algorithm for web data based on word vector space indexing. | Jin Han, Linbo Shao, Zhanman Deng, Bingbing Huang, Tianhao Wang |
| 2023 | ICPADS | Intelligent Recognition of Antigen Detection Reagent for Corona virus based on Improved Text Recognition. | Jin Han, Tianhao Wang, Zhanman Deng, Bingbing Huang, Linbo Shao, Xia Zhou |
| 2023 | NSDI | SRNIC: A Scalable Architecture for RDMA NICs. | Zilong Wang, Layong Luo, Qingsong Ning, Chaoliang Zeng, Wenxue Li, Xinchen Wan, Peng Xie, Tao Feng, Ke Cheng, Xiongfei Geng, Tianhao Wang, Weicheng Ling, Kejia Huo, Pingbo An, Kui Ji, Shideng Zhang, Bin Xu, Ruiqing Feng, Tao Ding, Kai Chen, Chuanxiong Guo |
| 2022 | CCS | Graph Unlearning. | Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang |
| 2022 | CCS | Federated Boosted Decision Trees with Differential Privacy. | Samuel Maddock, Graham Cormode, Tianhao Wang, Carsten Maple, Somesh Jha |
| 2022 | CCS | Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation. | Tong Wu, Tianhao Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal |
| 2022 | EMNLP | An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. | Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David E. Evans, Taylor Berg-Kirkpatrick |
| 2022 | ICLR | What Happens after SGD Reaches Zero Loss? --A Mathematical Framework. | Zhiyuan Li, Tianhao Wang, Sanjeev Arora |
| 2022 | ICML | Learning Stochastic Shortest Path with Linear Function Approximation. | Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu |
| 2022 | SP | Locally Differentially Private Sparse Vector Aggregation. | Mingxun Zhou, Tianhao Wang, T.-H. Hubert Chan, Giulia Fanti, Elaine Shi |
| 2022 | SENSYS | PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data. | Jiechao Gao, Mingyue Tang, Tianhao Wang, Bradford Campbell |
| 2021 | AAAI | Improving Robustness to Model Inversion Attacks via Mutual Information Regularization. | Tianhao Wang, Yuheng Zhang, Ruoxi Jia |
| 2021 | ACL | Differential Privacy for Text Analytics via Natural Text Sanitization. | Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow |
| 2021 | CCS | Continuous Release of Data Streams under both Centralized and Local Differential Privacy. | Tianhao Wang, Joann Qiongna Chen, Zhikun Zhang, Dong Su, Yueqiang Cheng, Zhou Li, Ninghui Li, Somesh Jha |
| 2021 | CCS | When Machine Unlearning Jeopardizes Privacy. | Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang |
| 2021 | WWW | RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks. | Tianhao Wang, Florian Kerschbaum |
| 2021 | TCC | Concurrent Composition of Differential Privacy. | Salil P. Vadhan, Tianhao Wang |
| 2020 | NDSS | Locally Differentially Private Frequency Estimation with Consistency. | Tianhao Wang, Milan Lopuha-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li |
| 2020 | SIGMOD | Estimating Numerical Distributions under Local Differential Privacy. | Zitao Li, Tianhao Wang, Milan Lopuha-Zwakenberg, Ninghui Li, Boris Skoric |
| 2020 | SP | Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension. | Aiping Xiong, Tianhao Wang, Ninghui Li, Somesh Jha |
| 2019 | ACSAC | Koinonia: verifiable e-voting with long-term privacy. | Huangyi Ge, Sze Yiu Chau, Victor E. Gonsalves, Huian Li, Tianhao Wang, Xukai Zou, Ninghui Li |
| 2019 | ICASSP | Attacks on Digital Watermarks for Deep Neural Networks. | Tianhao Wang, Florian Kerschbaum |
| 2019 | IGARSS | Urban Green Space Accessibility Evaluation Using Age-Based 2-Step Floating Catchment Area Method. | Jingyuan Qiu, Yuqi Bai, Yichun Hu, Tianhao Wang, Pei Zhang, Chengzhong Xu |
| 2019 | SIGMOD | Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. | Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha |
| 2018 | AISTATS | Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms. | Pan Xu, Tianhao Wang, Quanquan Gu |
| 2018 | CCS | CALM: Consistent Adaptive Local Marginal for Marginal Release under Local Differential Privacy. | Zhikun Zhang, Tianhao Wang, Ninghui Li, Shibo He, Jiming Chen |
| 2018 | ICML | Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions. | Pan Xu, Tianhao Wang, Quanquan Gu |
| 2018 | ICNC | Reconstruction of Fine Grayscale Image with Low Sampling Rate Based on the Salience Analysis. | Tianhao Wang, Zhen Su |
| 2018 | SIGMOD | Privacy at Scale: Local Differential Privacy in Practice. | Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang |
| 2018 | SP | Locally Differentially Private Frequent Itemset Mining. | Tianhao Wang, Ninghui Li, Somesh Jha |
| 2016 | CCS | On the Security and Usability of Segment-based Visual Cryptographic Authentication Protocols. | Tianhao Wang, Huangyi Ge, Omar Chowdhury, Hemanta K. Maji, Ninghui Li |
| 2016 | CCS | Secure Dynamic SSE via Access Indistinguishable Storage. | Tianhao Wang, Yunlei Zhao |
| 2015 | IECON | Accuracy improvement of carrier signal injection sensorless control for IPMSM in consideration of inverter nonlinearity. | Tianhao Wang, Bowen Shi, John Xu, Chris Gerada |