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Deliang Fan
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Publications
- 2025
[j35]Xing Chen
, Jingtao Li
, Deliang Fan
, Chaitali Chakrabarti
:
HeteroSFL: Split Federated Learning With Heterogeneous Clients and Non-IID Data. IEEE Internet Things J. 12(15): 30460-30474 (2025)
[c119]Ziyi Zhao, Qifeng Chen, Jingtao Li, Deliang Fan, Chaitali Chakrabarti:
TEE-SFL: Time and Energy-efficient solution for addressing communication heterogeneity in Split Federated Learning Schemes. ISLPED 2025: 1-7
[c117]Juyang Bai, Md Hafizul Islam Chowdhuryy, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan:
Phantom: Privacy-Preserving Deep Neural Network Model Obfuscation in Heterogeneous TEE and GPU System. USENIX Security Symposium 2025: 5565-5582- 2024
[c115]Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. AAAI 2024: 13545-13553- 2023
[i44]Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
Model Extraction Attacks on Split Federated Learning. CoRR abs/2303.08581 (2023)- 2022
[j26]Adnan Siraj Rakin
, Zhezhi He, Jingtao Li
, Fan Yao
, Chaitali Chakrabarti
, Deliang Fan
:
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7928-7939 (2022)
[c99]Jingtao Li
, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CVPR 2022: 10184-10192
[i41]Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CoRR abs/2205.04007 (2022)- 2021
[c81]Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE 2021: 790-795
[c79]Jingtao Li
, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST 2021: 248-258
[i39]Jingtao Li
, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR abs/2101.08254 (2021)
[i38]Adnan Siraj Rakin, Li Yang, Jingtao Li
, Fan Yao
, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Deliang Fan:
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy. CoRR abs/2103.13813 (2021)
[i37]Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR abs/2107.09789 (2021)- 2020
[c69]Zhezhi He, Adnan Siraj Rakin, Jingtao Li
, Chaitali Chakrabarti, Deliang Fan:
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR 2020: 14083-14091
[c67]Jingtao Li
, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
Defending Bit-Flip Attack through DNN Weight Reconstruction. DAC 2020: 1-6
[i32]Adnan Siraj Rakin, Zhezhi He, Jingtao Li
, Fan Yao
, Chaitali Chakrabarti, Deliang Fan:
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR abs/2007.12336 (2020)

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