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 | 156* | 2020 |
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 | 129* | 2021 |
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 | 123 | 2019 |
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 | 39 | 2021 |
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction Z Chen, K Pattabiraman NDSS'24, 2023 | 21 | 2023 |
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 | 21* | 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 | 20 | 2022 |
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 | 9 | 2020 |
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Z Chen, K Pattabiraman arXiv preprint arXiv:2407.01919, 2024 | 3 | 2024 |
Catch Me if You Can: Detecting Unauthorized Data Use in Deep Learning Models Z Chen, K Pattabiraman arXiv preprint arXiv:2409.06280, 2024 | | 2024 |