| TensorFI: A flexible fault injection framework for TensorFlow applications Z Chen, N Narayanan, B Fang, G Li, K Pattabiraman, N DeBardeleben 2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020 | 119* | 2020 |
| BinFI an efficient fault injector for safety-critical machine learning systems Z Chen, G Li, K Pattabiraman, N DeBardeleben Proceedings of the International Conference for High Performance Computing …, 2019 | 91 | 2019 |
| A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction Z Chen, G Li, K Pattabiraman 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021 | 69* | 2021 |
| PID-Piper: Recovering Robotic Vehicles from Physical Attacks P Dash, G Li, Z Chen, M Karimibiuki, K Pattabiraman 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021 | 23 | 2021 |
| LiReK: A lightweight and real-time key establishment scheme for wearable embedded devices by gestures or motions Z Chen, W Ren, Y Ren, KKR Choo Future Generation Computer Systems 84, 126-138, 2018 | 11 | 2018 |
| Error Resilient Machine Learning for Safety-Critical Systems: Position Paper K Pattabiraman, G Li, Z Chen 2020 IEEE 26th International Symposium on On-Line Testing and Robust System …, 2020 | 7 | 2020 |
| Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks Z Chen, P Dash, K Pattabiraman Proceedings of the 2023 ACM Asia Conference on Computer and Communications …, 2023 | 6* | 2023 |
| Fault Injection for TensorFlow Applications N Narayanan, Z Chen, B Fang, G Li, K Pattabiraman, N Debardeleben IEEE Transactions on Dependable and Secure Computing, 1-1, 2022 | 4 | 2022 |
| Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction Z Chen, K Pattabiraman NDSS'24, 2023 | 1 | 2023 |
Karthik PattabiramanProfessor, Electrical and Computer Engineering, University of British ColumbiaVerified email at ece.ubc.ca
