| Valence and conduction band offsets of β-Ga2O3/AlN heterojunction H Sun, CG Torres Castanedo, K Liu, KH Li, W Guo, R Lin, X Liu, J Li, X Li Applied Physics Letters 111 (16), 2017 | 100 | 2017 |
| Defending and harnessing the bit-flip based adversarial weight attack Z He, AS Rakin, J Li, C Chakrabarti, D Fan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 82 | 2020 |
| T-BFA: Targeted Bit-Flip Adversarial Weight Attack AS Rakin, Z He, J Li, F Yao, C Chakrabarti, D Fan IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7928 …, 2021 | 71 | 2021 |
| Wurtzite BAlN and BGaN alloys for heterointerface polarization engineering K Liu, H Sun, F AlQatari, W Guo, X Liu, J Li, CG Torres Castanedo, X Li Applied Physics Letters 111 (22), 2017 | 58 | 2017 |
| Defending bit-flip attack through dnn weight reconstruction J Li, AS Rakin, Y Xiong, L Chang, Z He, D Fan, C Chakrabarti 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 51 | 2020 |
| Radar: Run-time adversarial weight attack detection and accuracy recovery J Li, AS Rakin, Z He, D Fan, C Chakrabarti 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 790-795, 2021 | 41 | 2021 |
| Ressfl: A resistance transfer framework for defending model inversion attack in split federated learning J Li, AS Rakin, X Chen, Z He, D Fan, C Chakrabarti Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 39 | 2022 |
| MAX2: An ReRAM-Based Neural Network Accelerator That Maximizes Data Reuse and Area Utilization M Mao, X Peng, R Liu, J Li, S Yu, C Chakrabarti IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (2 …, 2019 | 30 | 2019 |
| Communication and computation reduction for split learning using asynchronous training X Chen, J Li, C Chakrabarti 2021 IEEE Workshop on Signal Processing Systems (SiPS), 76-81, 2021 | 25 | 2021 |
| Ra-bnn: Constructing robust & accurate binary neural network to simultaneously defend adversarial bit-flip attack and improve accuracy AS Rakin, L Yang, J Li, F Yao, C Chakrabarti, Y Cao, J Seo, D Fan arXiv preprint arXiv:2103.13813, 2021 | 22 | 2021 |
| Neurobfuscator: A full-stack obfuscation tool to mitigate neural architecture stealing J Li, Z He, AS Rakin, D Fan, C Chakrabarti 2021 IEEE International Symposium on Hardware Oriented Security and Trust …, 2021 | 21 | 2021 |
| MocoSFL: Enabling Cross-client Collaborative Self-supervised Learning MS Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti The Eleventh International Conference on Learning Representations 2023, 2023 | 15* | 2023 |
| Exploiting smallest error to calibrate non-linearity in SAR ADCs H Fan, J Li, Q Feng, X Diao, L Lin, K Zhang, H Sun, H Heidari IEEE Access 6, 42930-42940, 2018 | 12 | 2018 |
| AlN/beta-Ga2O3 based HEMT: a potential pathway to ultimate high power device Y Lu, HH Yao, J Li, J Yan, J Wang, J Li, X Li arXiv preprint arXiv:1901.05111, 2019 | 11 | 2019 |
| Order statistics and optimal selection of unit elements in DACs to enhance the static linearity H Fan, J Li, F Maloberti IEEE Transactions on Circuits and Systems I: Regular Papers 67 (7), 2193-2203, 2020 | 10 | 2020 |
| An adjustable farthest point sampling method for approximately-sorted point cloud data J Li, J Zhou, Y Xiong, X Chen, C Chakrabarti 2022 IEEE Workshop on Signal Processing Systems (SiPS), 1-6, 2022 | 9 | 2022 |
| Comparator design in sensors for environmental monitoring J Li, H Fan, Y Wu, Q Feng, D Li, D Hu, Y Cen, H Heidari IOP Conference Series: Earth and Environmental Science 151 (1), 012030, 2018 | 7 | 2018 |
| Energy and loss-aware selective updating for splitfed learning with energy harvesting-powered devices X Chen, J Li, C Chakrabarti Journal of Signal Processing Systems 94 (10), 961-975, 2022 | 4 | 2022 |
| Model Extraction Attacks on Split Federated Learning J Li, AS Rakin, X Chen, L Yang, Z He, D Fan, C Chakrabarti | 4 | 2022 |
| Split federated learning on micro-controllers: A keyword spotting showcase J Li, R Kuang arXiv preprint arXiv:2210.01961, 2022 | 3 | 2022 |
Chaitali ChakrabartiProfessor of Electrical Engineering, SECEE, Arizona State University在 asu.edu 的电子邮件经过验证
