| Autoencoder-based incremental class learning without retraining on old data E Choi, K Lee, K Choi arXiv preprint arXiv:1907.07872, 2019 | 16 | 2019 |
| SparseBFA: Attacking Sparse Deep Neural Networks with the Worst-Case Bit Flips on Coordinates K Lee, AP Chandrakasan ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 7 | 2022 |
| Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks K Lee, AP Chandrakasan IEEE Open Journal of Circuits and Systems 2, 843-855, 2021 | 5* | 2021 |
| An Energy-Efficient Neural Network Accelerator with Improved Protections Against Fault-Attacks S Maji, K Lee, C Gongye, Y Fei, AP Chandrakasan ESSCIRC 2023-IEEE 49th European Solid State Circuits Conference (ESSCIRC …, 2023 | 2 | 2023 |
| SecureLoop: Design Space Exploration of Secure DNN Accelerators K Lee, M Yan, J Emer, A Chandrakasan Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | 1 | 2023 |
| Improved methodology for evaluating adversarial robustness in deep neural networks K Lee Massachusetts Institute of Technology, 2020 | 1 | 2020 |
| An Energy-Efficient Neural Network Accelerator With Improved Resilience Against Fault Attacks S Maji, K Lee, C Gongye, Y Fei, AP Chandrakasan IEEE Journal of Solid-State Circuits, 2024 | | 2024 |
| Association of Stapedotomy Volume and Patient Sex With Better Outcome G Cahill, AA Wang, K Lee, M Sakagami, DB Welling, KM Stankovic JAMA Otolaryngology–Head & Neck Surgery 148 (10), 985-986, 2022 | | 2022 |
