J1 Securing DNN Acceleration from Off-chip Vulnerabilities with Low-overhead Authenticated Encryption
Under Review
Recommended citation: Kyungmi Lee, Gaurab Das, Donghyeon Han, Anantha Chandrakasan, "Securing DNN Acceleration from Off-chip Vulnerabilities with Low-overhead Authenticated Encryption", 2026.
J2 Secure Machine Learning Hardware: Challenges and Progress
Published in IEEE Circuits and Systems Magazine, 2025
Recommended citation: 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.
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J3 SparseLeakyNets: Classification Prediction Attack Over Sparsity-Aware Embedded Neural Networks Using Timing Side-Channel Information
Published in IEEE Computer Architecture Letters, 2024
Recommended citation: 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.
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J4 An Energy-Efficient Neural Network Accelerator With Improved Resilience Against Fault Attacks
Published in IEEE Journal of Solid-State Circuits, 2024
Recommended citation: 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.
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J5 Association of Stapedotomy Volume and Patient Sex With Better Outcome
Published in JAMA Otolaryngology–Head & Neck Surgery, 2022
Recommended citation: 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.
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J6 Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks
Published in IEEE Open Journal of Circuits and Systems, 2021
Recommended citation: Kyungmi Lee, Anantha Chandrakasan, "Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks", IEEE Open Journal of Circuits and Systems, 2021.
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C1 EnergAIzer: Scalable and Accurate GPU Power and Energy Estimation Framework for AI Workloads
Under Review
Recommended citation: Kyungmi Lee, Zhiye Song, Eun Kyung Lee, Xin Zhang, Tamar Eilam, Anantha Chandrakasan, "EnergAIzer: Scalable and Accurate GPU Power and Energy Estimation Framework for AI Workloads", 2026.
C2 SquareLoop: Explore Optimal Authentication Block Strategy for ML
Published in In the proceedings of International Workshop on Hardware and Architectural Support for Security and Privacy, 2025
Recommended citation: 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.
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C3 SecureLoop: Design Space Exploration of Secure DNN Accelerators
Published in In the proceedings of IEEE/ACM International Symposium on Microarchitecture, 2023
Recommended citation: 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.
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C4 An Energy-Efficient Neural Network Accelerator with Improved Protections Against Fault-Attacks
Published in In the proceedings of IEEE 49th European Solid State Circuits Conference (ESSCIRC), 2023
Student Research Preview (ISSCC'23) Best Poster
Recommended citation: 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.
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C5 SparseBFA: Attacking Sparse Deep Neural Networks with the Worst-Case Bit Flips on Coordinates
Published in In the proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Recommended citation: 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.
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C6 Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks
Published in In the proceedings of IEEE Workshop on Signal Processing Systems (SiPS), 2021
Bob Owens Best Student Paper Award
Recommended citation: 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.
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