DeepHammer: Depleting the Intelligence of Deep Neural Networks through
Targeted Chain of Bit Flips

DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips

30 March 2020

Adnan Siraj Rakin

Papers citing "DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips"

18 / 18 papers shown

Title
Revisiting DRAM Read Disturbance: Identifying Inconsistencies Between Experimental Characterization and Device-Level Studies Haocong Luo Ismail Emir Yüksel Ataberk Olgun A. Giray Yağlıkçı O. Mutlu 48 1 0 20 Mar 2025
Understanding RowHammer Under Reduced Refresh Latency: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions Yahya Can Tugrul A. Giray Yağlıkçı Ismail Emir Yüksel Ataberk Olgun Oguzhan Canpolat Nisa Bostancı Mohammad Sadrosadati Oguz Ergin O. Mutlu 40 2 0 17 Feb 2025
DAPPER: A Performance-Attack-Resilient Tracker for RowHammer Defense Jeonghyun Woo Prashant J. Nair 126 1 0 31 Jan 2025
DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism Ranyang Zhou Jacqueline T. Liu Nakul Kochar Sabbir Ahmed Adnan Siraj Rakin Shaahin Angizi 31 0 0 29 Apr 2024
Can We Rely on AI? D. Higham AAML 35 0 0 29 Aug 2023
Retrospective: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors O. Mutlu 13 576 0 28 Jun 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks Jialai Wang Ziyuan Zhang Meiqi Wang Han Qiu Tianwei Zhang Qi Li Zongpeng Li Tao Wei Chao Zhang AAML 17 20 0 27 Feb 2023
A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks Kevin Hector Mathieu Dumont Pierre-Alain Moëllic J. Dutertre AAML 19 4 0 28 Sep 2022
HiRA: Hidden Row Activation for Reducing Refresh Latency of Off-the-Shelf DRAM Chips A. G. Yaglikçi Ataberk Olgun Minesh Patel Haocong Luo Hasan Hassan Lois Orosa Oguz Ergin O. Mutlu 27 42 0 21 Sep 2022
Understanding RowHammer Under Reduced Wordline Voltage: An Experimental Study Using Real DRAM Devices A. G. Yaglikçi Haocong Luo Geraldo F. de Oliviera Ataberk Olgun Minesh Patel Jisung Park Hasan Hassan Jeremie S. Kim Lois Orosa O. Mutlu 11 48 0 20 Jun 2022
SoK: Rowhammer on Commodity Operating Systems Zhi-Li Zhang Decheng Chen Jiahao Qi Yueqiang Cheng Shijie Jiang ... Yansong Gao Surya Nepal Yi Zou Jiliang Zhang Yang Xiang 13 3 0 09 Jan 2022
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping B. Ghavami Seyd Movi Zhenman Fang Lesley Shannon AAML 32 9 0 25 Dec 2021
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories Adnan Siraj Rakin Md Hafizul Islam Chowdhuryy Fan Yao Deliang Fan AAML MIACV 22 110 0 08 Nov 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong Michael-Andrei Panaitescu-Liess Yigitcan Kaya Tudor Dumitras MQ 52 13 0 26 Oct 2021
A Deeper Look into RowHammer`s Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses Lois Orosa A. G. Yaglikçi Haocong Luo Ataberk Olgun Jisung Park Hasan Hassan Minesh Patel Jeremie S. Kim O. Mutlu 15 84 0 19 Oct 2021
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA Adnan Siraj Rakin Yukui Luo Xiaolin Xu Deliang Fan AAML 9 49 0 05 Nov 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks J. Breier Dirmanto Jap Xiaolu Hou S. Bhasin Yang Liu 15 3,912 0 23 Feb 2020
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018