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Adnan Siraj Rakin
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2020 – today
- 2024
- [c28]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 - [c27]Nazmul Karim
, Abdullah Al Arafat
Fisher Information guided Purification against Backdoor Attacks. CCS 2024: 4435-4449 - [c26]Sabbir Ahmed, Ranyang Zhou, Shaahin Angizi, Adnan Siraj Rakin:
Deep-TROJ: An Inference Stage Trojan Insertion Algorithm Through Efficient Weight Replacement Attack. CVPR 2024: 24810-24819 - [c25]Ranyang Zhou
DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs. DAC 2024: 44:1-44:6 - [c24]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: 1-6 - [c23]Yukui Luo, Adnan Siraj Rakin, Deliang Fan, Xiaolin Xu:
DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA. SP 2024: 3293-3310 - [i22]Ranyang Zhou, Jacqueline T. Liu, Nakul Kochar, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi:
DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism. CoRR abs/2404.18396 (2024) - [i21]Nazmul Karim, Abdullah Al Arafat, Adnan Siraj Rakin, Zhishan Guo, Nazanin Rahnavard:
Fisher Information guided Purification against Backdoor Attacks. CoRR abs/2409.00863 (2024) - 2023
- [c22]Sabbir Ahmed
SSDA: Secure Source-Free Domain Adaptation. ICCV 2023: 19123-19133 - [i20]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) - [i19]Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi:
DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack. CoRR abs/2305.08034 (2023) - [i18]Ranyang Zhou, Jacqueline T. Liu, Sabbir Ahmed, Nakul Kochar, Adnan Siraj Rakin, Shaahin Angizi:
Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM? CoRR abs/2311.16460 (2023) - [i17]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 abs/2312.09027 (2023) - 2022
- [j3]Sai Kiran Cherupally
Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection. IEEE Des. Test 39(4): 71-80 (2022) - [j2]Adnan Siraj Rakin
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7928-7939 (2022) - [c21]Li Yang, Adnan Siraj Rakin, Deliang Fan:
DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning. CVPR Workshops 2022: 2618-2626 - [c20]Jingtao Li
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CVPR 2022: 10184-10192 - [c19]Li Yang, Adnan Siraj Rakin, Deliang Fan:
RepNet: Efficient On-Device Learning via Feature Reprogramming. CVPR 2022: 12267-12276 - [c18]Adnan Siraj Rakin
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. SP 2022: 1157-1174 - [i16]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
- [c17]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: 559-564 - [c16]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 - [c15]Jingtao Li
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST 2021: 248-258 - [c14]Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin:
Robust Machine Learning via Privacy/ Rate-Distortion Theory. ISIT 2021: 1320-1325 - [c13]Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino
Towards Universal Adversarial Examples and Defenses. ITW 2021: 1-6 - [c12]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: 1919-1936 - [i15]Jingtao Li
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR abs/2101.08254 (2021) - [i14]Adnan Siraj Rakin, Li Yang, Jingtao Li
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy. CoRR abs/2103.13813 (2021) - [i13]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) - [i12]Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan:
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. CoRR abs/2111.04625 (2021) - 2020
- [j1]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): 15:1-15:24 (2020) - [c11]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
TBT: Targeted Neural Network Attack With Bit Trojan. CVPR 2020: 13195-13204 - [c10]Zhezhi He, Adnan Siraj Rakin, Jingtao Li
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR 2020: 14083-14091 - [c9]Jingtao Li
Defending Bit-Flip Attack through DNN Weight Reconstruction. DAC 2020: 1-6 - [c8]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: 125-130 - [c7]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: 1463-1480 - [i11]Fan Yao, Adnan Siraj Rakin, Deliang Fan:
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. CoRR abs/2003.13746 (2020) - [i10]Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin:
Robust Machine Learning via Privacy/Rate-Distortion Theory. CoRR abs/2007.11693 (2020) - [i9]Adnan Siraj Rakin, Zhezhi He, Jingtao Li
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR abs/2007.12336 (2020) - [i8]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 abs/2011.03006 (2020) - [i7]Li Yang, Adnan Siraj Rakin, Deliang Fan:
DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning. CoRR abs/2012.01362 (2020)
2010 – 2019
- 2019
- [c6]Zhezhi He, Adnan Siraj Rakin, Deliang Fan:
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. CVPR 2019: 588-597 - [c5]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. ICCV 2019: 1211-1220 - [c4]Adnan Siraj Rakin, Deliang Fan:
Defense-Net: Defend Against a Wide Range of Adversarial Attacks through Adversarial Detector. ISVLSI 2019: 332-337 - [i6]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search. CoRR abs/1903.12269 (2019) - [i5]Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan:
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR abs/1905.13074 (2019) - [i4]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
TBT: Targeted Neural Network Attack with Bit Trojan. CoRR abs/1909.05193 (2019) - 2018
- [c3]Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan:
CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. DAC 2018: 105:1-105:6 - [c2]Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan:
PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. ICCD 2018: 266-273 - [c1]Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan:
BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. ISVLSI 2018: 130-135 - [i3]Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan:
Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. CoRR abs/1802.01549 (2018) - [i2]Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan:
Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions. CoRR abs/1807.06714 (2018) - [i1]Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack. CoRR abs/1811.09310 (2018)
Coauthor Index
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