| 2025 | CCS | Anonymity Unveiled: A Practical Framework for Auditing Data Use in Deep Learning Models. | Zitao Chen, Karthik Pattabiraman |
| 2025 | NDSS | A Method to Facilitate Membership Inference Attacks in Deep Learning Models. | Zitao Chen, Karthik Pattabiraman |
| 2024 | CCS | Catch Me if You Can: Detecting Unauthorized Data Use in Training Deep Learning Models. | Zitao Chen |
| 2024 | NDSS | Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction. | Zitao Chen, Karthik Pattabiraman |
| 2023 | AsiaCCS | Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks. | Zitao Chen, Pritam Dash, Karthik Pattabiraman |
| 2021 | DSN | A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction. | Zitao Chen, Guanpeng Li, Karthik Pattabiraman |
| 2021 | DSN | PID-Piper: Recovering Robotic Vehicles from Physical Attacks. | Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, Karthik Pattabiraman |
| 2020 | IOLTS | Error Resilient Machine Learning for Safety-Critical Systems: Position Paper. | Karthik Pattabiraman, Guanpeng Li, Zitao Chen |
| 2020 | ISSRE | TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. | Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben |
| 2019 | SC | Untitled record | Zitao Chen, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben |
| 2017 | ISCC | Understanding viewing engagement and video quality in a large-scale mobile video system. | Zitao Chen, Laizhong Cui, Yong Jiang, Zhi Wang |