Adnan Siraj Rakin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 48

Top Topics

Attack Detection

Top Venues

Publications

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)
Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin, Shaahin Angizi
DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks. DATE (2024)
Ranyang Zhou, Jacqueline T. Liu, Nakul Kochar, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi
DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism. CoRR (2024)
Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi
DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack. CoRR (2023)
Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo, Adnan Siraj Rakin
SSDA: Secure Source-Free Domain Adaptation. ICCV (2023)
Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin, Shaahin Angizi
DRAM-Locker: A General-Purpose DRAM Protection Mechanism against Adversarial DNN Weight Attacks. CoRR (2023)
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
Model Extraction Attacks on Split Federated Learning. CoRR (2023)
Ranyang Zhou, Jacqueline Liu, Sabbir Ahmed, Nakul Kochar, Adnan Siraj Rakin, Shaahin Angizi
Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM? CoRR (2023)
Sai Kiran Cherupally, Jian Meng, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-Sun Seo
Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection. IEEE Des. Test 39 (4) (2022)
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) (2022)
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)
Li Yang, Adnan Siraj Rakin, Deliang Fan
: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning. CVPR Workshops (2022)
Li Yang, Adnan Siraj Rakin, Deliang Fan
RepNet: Efficient On-Device Learning via Feature Reprogramming. CVPR (2022)
Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. IEEE Symposium on Security and Privacy (2022)
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 (2022)
Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. CoRR (2021)
Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Kieran Parsons
Towards Universal Adversarial Examples and Defenses. ITW (2021)
Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR (2021)
Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE (2021)
Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR (2021)
Sai Kiran Cherupally, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo
Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. DAC (2021)
Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST (2021)
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 (2021)
Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
Robust Machine Learning via Privacy/ Rate-Distortion Theory. ISIT (2021)
Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. USENIX Security Symposium (2021)
Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR (2020)
Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. ACM J. Emerg. Technol. Comput. Syst. 16 (2) (2020)
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)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
TBT: Targeted Neural Network Attack With Bit Trojan. CVPR (2020)
Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. CoRR (2020)
Fan Yao, Adnan Siraj Rakin, Deliang Fan
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. USENIX Security Symposium (2020)
Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. ACM Great Lakes Symposium on VLSI (2020)
Li Yang, Adnan Siraj Rakin, Deliang Fan
DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning. CoRR (2020)
Fan Yao, Adnan Siraj Rakin, Deliang Fan
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. CoRR (2020)
Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
Robust Machine Learning via Privacy/Rate-Distortion Theory. CoRR (2020)
Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR (2020)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
TBT: Targeted Neural Network Attack with Bit Trojan. CoRR (2019)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search. CoRR (2019)
Adnan Siraj Rakin, Deliang Fan
Defense-Net: Defend Against a Wide Range of Adversarial Attacks through Adversarial Detector. ISVLSI (2019)
Zhezhi He, Adnan Siraj Rakin, Deliang Fan
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. CVPR (2019)
Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR (2019)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. ICCV (2019)
Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan
Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions. CoRR (2018)
Adnan Siraj Rakin, Zhezhi He, Deliang Fan
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack. CoRR (2018)
Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan
Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. CoRR (2018)
Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan
PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. ICCD (2018)
Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan
CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. DAC (2018)
Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. ISVLSI (2018)