Adnan Siraj Rakin

67 papers A* 19A 5B 2C 1Journal 34Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PROTEA: Securing Robot Task Planning and Execution. CoRR Zainab Altaweel, Mohaiminul Al Nahian, Jake Juettner, Adnan Siraj Rakin, Shiqi Zhang
2025	J	`jnl`	Assessing the Potential of Escalating RowHammer Attack Distance to Bypass-Counter-Based Defenses. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ranyang Zhou, Jacqueline T. Liu, Sabbir Ahmed, Nakul Kochar, Adnan Siraj Rakin, Shaahin Angizi
2025	J	`jnl`	CacheTrap: Injecting Trojans in LLMs without Leaving any Traces in Inputs or Weights. CoRR Mohaiminul Al Nahian, Abeer Matar A. Almalky, Gamana Aragonda, Ranyang Zhou, Sabbir Ahmed, Dmitry Ponomarev, Li Yang, Shaahin Angizi, Adnan Siraj Rakin
2025	A	`conf`	Compromising the Intelligence of Modern DNNs: On the Effectiveness of Targeted RowPress. DATE Ranyang Zhou, Jacqueline T. Liu, Sabbir Ahmed, Shaahin Angizi, Adnan Siraj Rakin
2025	A*	`conf`	DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge. CVPR Sabbir Ahmed, Abdullah Al Arafat, Deniz Najafi, Akhlak Mahmood, Mamshad Nayeem Rizve, Mohaiminul Al Nahian, Ranyang Zhou, Shaahin Angizi, Adnan Siraj Rakin
2025	J	`jnl`	EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer. CoRR Ranyang Zhou, Abeer Matar A. Almalky, Gamana Aragonda, Sabbir Ahmed, Filip Roth Trønnes-Christensen, Adnan Siraj Rakin, Shaahin Angizi
2025	J	`jnl`	Ghosting Your LLM: Without The Knowledge of Your Gradient and Data. CoRR Abeer Matar A. Almalky, Ziyan Wang, Mohaiminul Al Nahian, Li Yang, Adnan Siraj Rakin
2025	—	`conf`	How Vulnerable are Large Language Models (LLMs) against Adversarial Bit-Flip Attacks? ACM Great Lakes Symposium on VLSI Abeer Matar A. Almalky, Ranyang Zhou, Shaahin Angizi, Adnan Siraj Rakin
2025	A	`conf`	LLWRA: Large Language Models Weight Replacement Attack. ICCAD Abeer Matar A. Almalky, Sabbir Ahmed, Ranyang Zhou, Mohaiminul Al Nahian, Abdullah Al Arafat, Shaahin Angizi, Adnan Siraj Rakin
2025	A	`conf`	Non-Negative AdderNet: Algorithm-Hardware Co-design for Lightweight Defense of Adversarial Bit-Flip Attacks. ICCAD Yunxiang Zhang, Sabbir Ahmed, Abeer Matar A. Almalky, Adnan Siraj Rakin, Wenfeng Zhao
2025	J	`jnl`	Robo-Troj: Attacking LLM-based Task Planners. CoRR Mohaiminul Al Nahian, Zainab Altaweel, David Reitano, Sabbir Ahmed, Saumitra Lohokare, Shiqi Zhang, Adnan Siraj Rakin
2025	J	`jnl`	Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains. CoRR Sabbir Ahmed, Mamshad Nayeem Rizve, Abdullah Al Arafat, Jacqueline T. Liu, Rahim Hossain, Mohaiminul Al Nahian, Adnan Siraj Rakin
2024	J	`jnl`	A Novel Insight Into the Vulnerability of DDR4 DRAM Cells Across Multiple Hammering Settings. IEEE Embed. Syst. Lett. Ranyang Zhou, Jacqueline T. Liu, Nakul Kochar, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi
2024	J	`jnl`	Compromising the Intelligence of Modern DNNs: On the Effectiveness of Targeted RowPress. CoRR Ranyang Zhou, Jacqueline T. Liu, Sabbir Ahmed, Shaahin Angizi, Adnan Siraj Rakin
2024	A*	`conf`	DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs. DAC Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi
2024	A	`conf`	DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks. DATE Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin, Shaahin Angizi
2024	J	`jnl`	DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism. CoRR Ranyang Zhou, Jacqueline T. Liu, Nakul Kochar, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi
2024	A*	`conf`	Deep-TROJ: An Inference Stage Trojan Insertion Algorithm Through Efficient Weight Replacement Attack. CVPR Sabbir Ahmed, Ranyang Zhou, Shaahin Angizi, Adnan Siraj Rakin
2024	A*	`conf`	DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA. SP Yukui Luo, Adnan Siraj Rakin, Deliang Fan, Xiaolin Xu
2024	A*	`conf`	EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. AAAI Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
2024	A*	`conf`	Fisher Information guided Purification against Backdoor Attacks. CCS Nazmul Karim, Abdullah Al Arafat, Adnan Siraj Rakin, Zhishan Guo, Nazanin Rahnavard
2024	J	`jnl`	Fisher Information guided Purification against Backdoor Attacks. CoRR Nazmul Karim, Abdullah Al Arafat, Adnan Siraj Rakin, Zhishan Guo, Nazanin Rahnavard
2023	J	`jnl`	DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack. CoRR Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi
2023	J	`jnl`	DRAM-Locker: A General-Purpose DRAM Protection Mechanism against Adversarial DNN Weight Attacks. CoRR Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin, Shaahin Angizi
2023	J	`jnl`	Model Extraction Attacks on Split Federated Learning. CoRR Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2023	A*	`conf`	SSDA: Secure Source-Free Domain Adaptation. ICCV Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo, Adnan Siraj Rakin
2023	J	`jnl`	Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM? CoRR Ranyang Zhou, Jacqueline T. Liu, Sabbir Ahmed, Nakul Kochar, Adnan Siraj Rakin, Shaahin Angizi
2022	—	`conf`	DA CVPR Workshops Li Yang, Adnan Siraj Rakin, Deliang Fan
2022	A*	`conf`	DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. SP Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan
2022	J	`jnl`	Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection. IEEE Des. Test Sai Kiran Cherupally, Jian Meng, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo
2022	A*	`conf`	RepNet: Efficient On-Device Learning via Feature Reprogramming. CVPR Li Yang, Adnan Siraj Rakin, Deliang Fan
2022	A*	`conf`	ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CVPR Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2022	J	`jnl`	ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CoRR Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2022	J	`jnl`	T-BFA: Targeted Bit-Flip Adversarial Weight Attack. IEEE Trans. Pattern Anal. Mach. Intell. Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
2021	A*	`conf`	Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. USENIX Security Symposium Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
2021	J	`jnl`	DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. CoRR Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan
2021	A*	`conf`	Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. DAC Sai Kiran Cherupally, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo
2021	—	`conf`	NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
2021	J	`jnl`	NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
2021	J	`jnl`	RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy. CoRR Adnan Siraj Rakin, Li Yang, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Deliang Fan
2021	A	`conf`	RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2021	J	`jnl`	RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2021	B	`conf`	Robust Machine Learning via Privacy/ Rate-Distortion Theory. ISIT Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
2021	B	`conf`	Towards Universal Adversarial Examples and Defenses. ITW Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Kieran Parsons
2020	J	`jnl`	DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning. CoRR Li Yang, Adnan Siraj Rakin, Deliang Fan
2020	J	`jnl`	Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA. CoRR Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
2020	A*	`conf`	DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. USENIX Security Symposium Fan Yao, Adnan Siraj Rakin, Deliang Fan
2020	J	`jnl`	DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips. CoRR Fan Yao, Adnan Siraj Rakin, Deliang Fan
2020	A*	`conf`	Defending Bit-Flip Attack through DNN Weight Reconstruction. DAC Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2020	A*	`conf`	Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan
2020	J	`jnl`	Robust Machine Learning via Privacy/Rate-Distortion Theory. CoRR Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
2020	—	`conf`	Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. ACM Great Lakes Symposium on VLSI Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
2020	J	`jnl`	Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. ACM J. Emerg. Technol. Comput. Syst. Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
2020	J	`jnl`	T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
2020	A*	`conf`	TBT: Targeted Neural Network Attack With Bit Trojan. CVPR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2019	A*	`conf`	Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. ICCV Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2019	J	`jnl`	Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search. CoRR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2019	—	`conf`	Defense-Net: Defend Against a Wide Range of Adversarial Attacks through Adversarial Detector. ISVLSI Adnan Siraj Rakin, Deliang Fan
2019	A*	`conf`	Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. CVPR Zhezhi He, Adnan Siraj Rakin, Deliang Fan
2019	J	`jnl`	Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
2019	J	`jnl`	TBT: Targeted Neural Network Attack with Bit Trojan. CoRR Adnan Siraj Rakin, Zhezhi He, Deliang Fan
2018	—	`conf`	BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. ISVLSI Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
2018	J	`jnl`	Blind Pre-Processing: A Robust Defense Method Against Adversarial Examples. CoRR Adnan Siraj Rakin, Zhezhi He, Boqing Gong, Deliang Fan
2018	A*	`conf`	CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. DAC Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan
2018	J	`jnl`	Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions. CoRR Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan
2018	C	`conf`	PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. ICCD Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan
2018	J	`jnl`	Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack. CoRR Adnan Siraj Rakin, Zhezhi He, Deliang Fan