| 2026 | DATE | INSPIRE: In-Sensor Compressed Weight Retrieval for Enhancing ViT Efficiency at Edge. | Sabbir Ahmed, Deniz Najafi, Mohaiminul Al Nahian, Navid Khoshavi, Abdullah Al Arafat, Mamshad Nayeem Rizve, Mahdi Nikdast, Adnan Siraj Rakin, Shaahin Angizi |
| 2026 | DATE | Late Breaking Results: Thermally Assisted RowPress-RowHammer Synergy for Cross-Row Bit Flips. | Filip Roth Trnnes-Christensen, Ranyang Zhou, Gamana Aragonda, Abeer Matar A. Almalky, Mohaiminul Al Nahian, Adnan Siraj Rakin, Shaahin Angizi |
| 2026 | WACV | Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains. | Sabbir Ahmed, Mamshad Nayeem Rizve, Abdullah Al Arafat, Jacqueline Tiffany Liu, Rahim Hossain, Mohaiminul Al Nahian, Adnan Siraj Rakin |
| 2025 | CVPR | DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge. | Sabbir Ahmed, Abdullah Al Arafat, Deniz Najafi, Akhlak Mahmood, Mamshad Nayeem Rizve, Mohaiminul Al Nahian, Ranyang Zhou, Shaahin Angizi, Adnan Siraj Rakin |
| 2025 | DATE | Compromising the Intelligence of Modern DNNs: On the Effectiveness of Targeted RowPress. | Ranyang Zhou, Jacqueline Tiffany Liu, Sabbir Ahmed, Shaahin Angizi, Adnan Siraj Rakin |
| 2025 | ICCAD | Non-Negative AdderNet: Algorithm-Hardware Co-design for Lightweight Defense of Adversarial Bit-Flip Attacks. | Yunxiang Zhang, Sabbir Ahmed, Abeer Matar A. Almalky, Adnan Siraj Rakin, Wenfeng Zhao |
| 2024 | AAAI | EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. | Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti |
| 2024 | CCS | Fisher Information guided Purification against Backdoor Attacks. | Nazmul Karim, Abdullah Al Arafat, Adnan Siraj Rakin, Zhishan Guo, Nazanin Rahnavard |
| 2024 | CVPR | Deep-TROJ: An Inference Stage Trojan Insertion Algorithm Through Efficient Weight Replacement Attack. | Sabbir Ahmed, Ranyang Zhou, Shaahin Angizi, Adnan Siraj Rakin |
| 2024 | DAC | DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs. | Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi |
| 2024 | DATE | DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks. | Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin, Shaahin Angizi |
| 2024 | SP | DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA. | Yukui Luo, Adnan Siraj Rakin, Deliang Fan, Xiaolin Xu |
| 2023 | ICCV | SSDA: Secure Source-Free Domain Adaptation. | Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo, Adnan Siraj Rakin |
| 2022 | CVPR | ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. | Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti |
| 2022 | CVPR | DA | Li Yang, Adnan Siraj Rakin, Deliang Fan |
| 2022 | CVPR | RepNet: Efficient On-Device Learning via Feature Reprogramming. | Li Yang, Adnan Siraj Rakin, Deliang Fan |
| 2022 | SP | DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. | Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan |
| 2021 | DAC | Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. | Sai Kiran Cherupally, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo |
| 2021 | DATE | RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. | Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti |
| 2021 | ISIT | Robust Machine Learning via Privacy/ Rate-Distortion Theory. | Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin |
| 2021 | ITW | Towards Universal Adversarial Examples and Defenses. | Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Kieran Parsons |
| 2020 | CVPR | Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. | Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan |
| 2020 | CVPR | TBT: Targeted Neural Network Attack With Bit Trojan. | Adnan Siraj Rakin, Zhezhi He, Deliang Fan |
| 2020 | DAC | Defending Bit-Flip Attack through DNN Weight Reconstruction. | Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti |
| 2019 | CVPR | Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. | Zhezhi He, Adnan Siraj Rakin, Deliang Fan |
| 2019 | ICCV | Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. | Adnan Siraj Rakin, Zhezhi He, Deliang Fan |
| 2018 | DAC | CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. | Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan |
| 2018 | ICCD | PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. | Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan |