AR
Adnan Siraj Rakin
cs.CRcs.LGcs.CVcs.AIcs.ARcs.ROstat.MLcs.GTcs.ITcs.NE
On Valency
published · living versionsW_3c79u64e·v1 · currentpublished
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips
with Fan Yao, Deliang Fan
1 version
W_bavhbrty·v1published
Preprints & journals
29 papers in the corpus · 2018–2026TEE-X: TEE-aware Acceleration Framework for Large Vision Models at the Edge2608.22716v1 · Kurt M Wilson, Mohaiminul Al Nahian, Abeer Matar A. Almalky et al.2026 · 0 citationsarXiv
Dominant-Layer ZO: A Single Layer Dominates Zeroth-Order Fine-Tuning of LLMs2606.05516v1 · Wanhao Yu, Ziyan Wang, Zheng Wang et al.2026 · 0 citationsarXiv
PROTEA: Securing Robot Task Planning and Execution2601.07186v1 · Zainab Altaweel, Mohaiminul Al Nahian, Jake Juettner et al.2026 · 0 citationsarXiv
EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer2507.02206v1 · Ranyang Zhou, Abeer Matar A. Almalky, Gamana Aragonda et al.2025 · 0 citationsarXiv
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains2505.21010v1 · Sabbir Ahmed, Mamshad Nayeem Rizve, Abdullah Al Arafat et al.2025 · 0 citationsarXiv
MuTRAP: Multi-trigger Trojans Attacking Robot Task Planning Systems2504.17070v3 · Mohaiminul Al Nahian, Zainab Altaweel, David Reitano et al.2025 · 0 citationsarXiv
Compromising the Intelligence of Modern DNNs: On the Effectiveness of Targeted RowPress2412.02156v1 · Ranyang Zhou, Jacqueline T. Liu, Sabbir Ahmed et al.2024 · 3 citationsarXiv
Fisher Information guided Purification against Backdoor Attacks2409.00863v1 · Nazmul Karim, Abdullah Al Arafat, Adnan Siraj Rakin et al.2024 · 6 citationsarXiv
DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism2404.18396v1 · Ranyang Zhou, Jacqueline T. Liu, Nakul Kochar et al.2024 · 0 citationsarXiv
DRAM-Locker: A General-Purpose DRAM Protection Mechanism against Adversarial DNN Weight Attacks2312.09027v1 · Ranyang Zhou, Sabbir Ahmed, Arman Roohi et al.2023 · 3 citationsarXiv
Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM?2311.16460v1 · Ranyang Zhou, Jacqueline Liu, Sabbir Ahmed et al.2023 · 2 citationsarXiv
DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs2305.08034v2 · Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin et al.2023 · 5 citationsarXiv
Model Extraction Attacks on Split Federated Learning2303.08581v1 · Jingtao Li, Adnan Siraj Rakin, Xing Chen et al.2023 · 6 citationsarXiv
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning2205.04007v1 · Jingtao Li, Adnan Siraj Rakin, Xing Chen et al.2022 · 82 citationsarXiv
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories2111.04625v1 · Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao et al.2021 · 116 citationsarXiv
T-BFA: Targeted Bit-Flip Adversarial Weight Attack.34529561 · Rakin, Adnan Siraj, He, Zhezhi, Li, Jingtao et al.2024 · 89 citationsIEEE transactions on pattern analysis and machine intelligence. 2021;PP
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing2107.09789v1 · Jingtao Li, Zhezhi He, Adnan Siraj Rakin et al.2021 · 24 citationsarXiv
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy2103.13813v1 · Adnan Siraj Rakin, Li Yang, Jingtao Li et al.2021 · 3 citationsarXiv
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery2101.08254v1 · Jingtao Li, Adnan Siraj Rakin, Zhezhi He et al.2021 · 40 citationsarXiv
:Dynamic Additive Attention Adaption for Memory-EfficientOn-Device Multi-Domain Learning2012.01362v3 · Li Yang, Adnan Siraj Rakin, Deliang Fan2020 · 0 citationsarXiv
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA2011.03006v2 · Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu et al.2020 · 32 citationsarXiv
Robust Machine Learning via Privacy/Rate-Distortion Theory2007.11693v2 · Ye Wang, Shuchin Aeron, Adnan Siraj Rakin et al.2020 · 5 citationsarXiv
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips2003.13746v1 · Fan Yao, Adnan Siraj Rakin, Deliang Fan2020 · 107 citationsarXivon Valency
TBT: Targeted Neural Network Attack with Bit Trojan1909.05193v3 · Adnan Siraj Rakin, Zhezhi He, Deliang Fan2019 · 200 citationsarXiv
Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness1905.13074v1 · Adnan Siraj Rakin, Zhezhi He, Li Yang et al.2019 · 16 citationsarXiv
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search1903.12269v2 · Adnan Siraj Rakin, Zhezhi He, Deliang Fan2019 · 274 citationsarXivon Valency
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack1811.09310v1 · Adnan Siraj Rakin, Zhezhi He, Deliang Fan2018 · 283 citationsarXiv
Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions1807.06714v2 · Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong et al.2018 · 35 citationsarXiv
Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples1802.01549v2 · Adnan Siraj Rakin, Zhezhi He, Boqing Gong et al.2018 · 9 citationsarXiv
Career total: 69 works. 29 are in this corpus.
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