[J1] Securing DNN Acceleration From Off-Chip Memory Vulnerabilities With Low-Overhead Authenticated Encryption
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2026
Kyungmi Lee, Gaurab Das, Donghyeon Han, Anantha Chandrakasan, "Securing DNN Acceleration From Off-Chip Memory Vulnerabilities With Low-Overhead Authenticated Encryption", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2026.
[Paper]
[J2] Secure Machine Learning Hardware: Challenges and Progress
IEEE Circuits and Systems Magazine, 2025
Kyungmi Lee, Maitreyi Ashok, Saurav Maji, Rashmi Agrawal, Ajay Joshi, Mengjia Yan, Joel Emer, Anantha Chandrakasan, "Secure Machine Learning Hardware: Challenges and Progress", IEEE Circuits and Systems Magazine, 2025.
[Paper]
[J3] SparseLeakyNets: Classification Prediction Attack Over Sparsity-Aware Embedded Neural Networks Using Timing Side-Channel Information
IEEE Computer Architecture Letters, 2024
Saurav Maji, Kyungmi Lee, Anantha Chandrakasan, "SparseLeakyNets: Classification Prediction Attack Over Sparsity-Aware Embedded Neural Networks Using Timing Side-Channel Information", IEEE Computer Architecture Letters, 2024.
[Paper]
[J4] An Energy-Efficient Neural Network Accelerator With Improved Resilience Against Fault Attacks
IEEE Journal of Solid-State Circuits, 2024
Saurav Maji, Kyungmi Lee, Cheng Gongye, Yunsi Fei, Anantha Chandrakasan, "An Energy-Efficient Neural Network Accelerator With Improved Resilience Against Fault Attacks", IEEE Journal of Solid-State Circuits, 2024.
[Paper]
[J5] Association of Stapedotomy Volume and Patient Sex With Better Outcome
JAMA Otolaryngology–Head & Neck Surgery, 2022
Gabrielle Cahill, Annette Wang, Kyungmi Lee, Masaharu Sakagami, D. Welling, Konstantina Stankovic, "Association of Stapedotomy Volume and Patient Sex With Better Outcome", JAMA Otolaryngology–Head & Neck Surgery, 2022.
[Paper]
[J6] Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks
IEEE Open Journal of Circuits and Systems, 2021
Kyungmi Lee, Anantha Chandrakasan, "Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks", IEEE Open Journal of Circuits and Systems, 2021.
[Paper]
[C1] EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads
In the proceedings of 2026 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2026
Kyungmi Lee, Zhiye Song, Eun Kyung Lee, Xin Zhang, Tamar Eilam, Anantha Chandrakasan, "EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads", In the proceedings of 2026 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2026.
[Paper]
[C2] SquareLoop: Explore Optimal Authentication Block Strategy for ML
In the proceedings of International Workshop on Hardware and Architectural Support for Security and Privacy, 2025
Jan Strzeszynski, Jianming Tong, Kyungmi Lee, Nathan Xiong, Angshuman Parashar, Joel Emer, Tushar Krishna, Mengjia Yan, "SquareLoop: Explore Optimal Authentication Block Strategy for ML", In the proceedings of International Workshop on Hardware and Architectural Support for Security and Privacy, 2025.
[Paper]
[C3] SecureLoop: Design Space Exploration of Secure DNN Accelerators
In the proceedings of IEEE/ACM International Symposium on Microarchitecture, 2023
Kyungmi Lee, Mengjia Yan, Joel Emer, Anantha Chandrakasan, "SecureLoop: Design Space Exploration of Secure DNN Accelerators", In the proceedings of IEEE/ACM International Symposium on Microarchitecture, 2023.
[Paper]
[C4] An Energy-Efficient Neural Network Accelerator with Improved Protections Against Fault-Attacks
In the proceedings of IEEE 49th European Solid State Circuits Conference (ESSCIRC), 2023
Student Research Preview (ISSCC'23) Best Poster
Saurav Maji, Kyungmi Lee, Cheng Gongye, Yunsi Fei, Anantha Chandrakasan, "An Energy-Efficient Neural Network Accelerator with Improved Protections Against Fault-Attacks", In the proceedings of IEEE 49th European Solid State Circuits Conference (ESSCIRC), 2023.
[Paper]
[C5] SparseBFA: Attacking Sparse Deep Neural Networks with the Worst-Case Bit Flips on Coordinates
In the proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Kyungmi Lee, Anantha Chandrakasan, "SparseBFA: Attacking Sparse Deep Neural Networks with the Worst-Case Bit Flips on Coordinates", In the proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
[Paper]
[C6] Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks
In the proceedings of IEEE Workshop on Signal Processing Systems (SiPS), 2021
Bob Owens Best Student Paper Award
Kyungmi Lee, Anantha Chandrakasan, "Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks." In the proceedings of IEEE Workshop on Signal Processing Systems (SiPS), 2021.
[Paper]