Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks

3 June 2019

Sanghyun Hong

Papers citing "Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks"

50 / 86 papers shown

Title
When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations Jeonghyun Woo Joyce Qu Gururaj Saileshwar Prashant J. Nair 28 0 0 15 May 2025
Threat Modeling for AI: The Case for an Asset-Centric Approach Jose Sanchez Vicarte Marcin Spoczynski Mostafa Elsaid 29 0 0 08 May 2025
Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection Jon Gutiérrez-Zaballa Koldo Basterretxea Javier Echanobe AAML 30 0 0 07 Apr 2025
Hessian-aware Training for Enhancing DNNs Resilience to Parameter Corruptions Tahmid Hasan Prato Seijoon Kim Lizhong Chen Sanghyun Hong AAML 38 0 0 02 Apr 2025
Understanding and Mitigating Side and Covert Channel Vulnerabilities Introduced by RowHammer Defenses F. Nisa Bostancı Oguzhan Canpolat Ataberk Olgun Ismail Emir Yüksel Mohammad Sadrosadati A. Giray Yağlıkçı O. Mutlu Onur Mutlu AAML 62 0 0 23 Mar 2025
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 53 1 0 20 Mar 2025
Verification of Bit-Flip Attacks against Quantized Neural Networks Yedi Zhang Lei Huang Pengfei Gao Fu Song Jun Sun Jin Song Dong AAML 52 0 0 22 Feb 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 45 2 0 17 Feb 2025
A Semi Black-Box Adversarial Bit-Flip Attack with Limited DNN Model Information B. Ghavami Mani Sadati M. Shahidzadeh Lesley Shannon S. Wilton AAML 71 0 0 12 Dec 2024
PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips Zachary Coalson Jeonghyun Woo Shiyang Chen Yu Sun Lishan Yang Prashant J. Nair Bo Fang Sanghyun Hong AAML 82 2 0 10 Dec 2024
Data Free Backdoor Attacks Bochuan Cao Jinyuan Jia Chuxuan Hu Wenbo Guo Zhen Xiang Jinghui Chen Bo-wen Li Dawn Song AAML 81 0 0 09 Dec 2024
Designing DNNs for a trade-off between robustness and processing performance in embedded devices Jon Gutiérrez-Zaballa Koldo Basterretxea Javier Echanobe AAML 104 2 0 04 Dec 2024
Enhancing Neural Network Robustness Against Fault Injection Through Non-linear Weight Transformations Ninnart Fuengfusin H. Tamukoh AAML 78 0 0 28 Nov 2024
Harden Deep Neural Networks Against Fault Injections Through Weight Scaling Ninnart Fuengfusin H. Tamukoh 60 0 0 28 Nov 2024
Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks Lingxin Jin Meiyu Lin Wei Jiang Jinyu Zhan AAML SILM 26 2 0 24 Sep 2024
DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers Camilo A. Mart´ınez-Mej´ıa Jesus Solano J. Breier Dominik Bucko Xiaolu Hou AAML 36 0 0 30 Jul 2024
ZOBNN: Zero-Overhead Dependable Design of Binary Neural Networks with Deliberately Quantized Parameters B. Ghavami M. Shahidzadeh Lesley Shannon S. Wilton 50 0 0 06 Jul 2024
Understanding the Security Benefits and Overheads of Emerging Industry Solutions to DRAM Read Disturbance Oguzhan Canpolat A. Giray Yağlıkçı Geraldo F. Oliveira Ataberk Olgun Oguz Ergin Onur Mutlu 29 14 0 27 Jun 2024
An Experimental Characterization of Combined RowHammer and RowPress Read Disturbance in Modern DRAM Chips Haocong Luo Ismail Emir Yüksel Ataberk Olgun A. Giray Yağlıkçı Mohammad Sadrosadati Onur Mutlu 29 4 0 18 Jun 2024
DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural Networks Patrik Velcický J. Breier Mladen Kovacevic Xiaolu Hou AAML 45 1 0 22 May 2024
DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism Ranyang Zhou Jacqueline T. Liu Nakul Kochar Sabbir Ahmed Adnan Siraj Rakin Shaahin Angizi 36 0 0 29 Apr 2024
CoMeT: Count-Min-Sketch-based Row Tracking to Mitigate RowHammer at Low Cost F. N. Bostanci Ismail Emir Yüksel Ataberk Olgun Konstantinos Kanellopoulos Yahya Can Tugrul A. G. Yaglikçi Mohammad Sadrosadati Onur Mutlu 28 16 0 29 Feb 2024
Spatial Variation-Aware Read Disturbance Defenses: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions A. G. Yaglikçi Yahya Can Tugrul Geraldo F. Oliveira Ismail Emir Yüksel Ataberk Olgun Haocong Luo Onur Mutlu 35 13 0 28 Feb 2024
Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM? Ranyang Zhou Jacqueline T. Liu Sabbir Ahmed Nakul Kochar Adnan Siraj Rakin Shaahin Angizi 24 5 0 28 Nov 2023
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications Bo Fang Xinyi Li Harvey Dam Cheng Tan S. Hari ... Dingwen Tao Ganesh Gopalakrishnan Prashant J. Nair Kevin J. Barker Ang Li 18 0 0 09 Nov 2023
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent Lorenz Kummer Samir Moustafa Nils N. Kriege Wilfried N. Gansterer GNN AAML 30 0 0 02 Nov 2023
A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks Florian Geissler S. Qutub Michael Paulitsch Karthik Pattabiraman 29 5 0 31 Oct 2023
Read Disturbance in High Bandwidth Memory: A Detailed Experimental Study on HBM2 DRAM Chips Ataberk Olgun Majd Osseiran A. G. Yaglikçi Yahya Can Tugrul Haocong Luo Steve Rhyner Behzad Salami Juan Gómez Luna Onur Mutlu 18 8 0 23 Oct 2023
ABACuS: All-Bank Activation Counters for Scalable and Low Overhead RowHammer Mitigation Ataberk Olgun Yahya Can Tugrul Nisa Bostanci Ismail Emir Yüksel Haocong Luo Steve Rhyner A. G. Yaglikçi Geraldo F. Oliveira Onur Mutlu 38 18 0 15 Oct 2023
RowPress: Amplifying Read Disturbance in Modern DRAM Chips Haocong Luo Ataberk Olgun A. G. Yaglikçi Yahya Can Tugrul Steve Rhyner Meryem Banu Cavlak Joel Lindegger Mohammad Sadrosadati O. Mutlu 30 52 0 29 Jun 2023
Retrospective: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors O. Mutlu 32 576 0 28 Jun 2023
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios Ziqiang Li Hong Sun Pengfei Xia Heng Li Beihao Xia Yi Wu Bin Li AAML 24 8 0 14 Jun 2023
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks Ziqiang Li Hong Sun Pengfei Xia Beihao Xia Xue Rui Wei Zhang Qinglang Guo Bin Li AAML 32 8 0 14 Jun 2023
An Experimental Analysis of RowHammer in HBM2 DRAM Chips Ataberk Olgun Majd Osseiran A. G. Yaglikçi Yahya Can Tugrul Haocong Luo Steve Rhyner Behzad Salami Juan Gómez Luna O. Mutlu 26 15 0 29 May 2023
DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack Ranyang Zhou Sabbir Ahmed Adnan Siraj Rakin Shaahin Angizi AAML 29 1 0 14 May 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 16 3 0 17 Apr 2023
DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators Mahdi Taheri M. Riazati Mohammad Hasan Ahmadilivani M. Jenihhin Masoud Daneshtalab J. Raik Mikael Sjödin B. Lisper 49 20 0 14 Mar 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 22 20 0 27 Feb 2023
An Incremental Gray-box Physical Adversarial Attack on Neural Network Training Rabiah Al-qudah Moayad Aloqaily B. Ouni Mohsen Guizani T. Lestable AAML 38 4 0 20 Feb 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 31 75 0 29 Dec 2022
FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep Neural Networks Akul Malhotra S. Gupta 16 0 0 29 Dec 2022
Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators Abhishek Tyagi Yiming Gan Shaoshan Liu Bo Yu P. Whatmough Yuhao Zhu AAML 21 9 0 05 Dec 2022
Fundamentally Understanding and Solving RowHammer O. Mutlu Ataberk Olgun A. G. Yaglikçi 27 49 0 14 Nov 2022
DRAM Bender: An Extensible and Versatile FPGA-based Infrastructure to Easily Test State-of-the-art DRAM Chips Ataberk Olgun Hasan Hassan A. G. Yaglikçi Yahya Can Tugrul Lois Orosa Haocong Luo Minesh Patel Oguz Ergin O. Mutlu 31 37 0 10 Nov 2022
SpyHammer: Understanding and Exploiting RowHammer under Fine-Grained Temperature Variations Lois Orosa Ulrich Rührmair A. G. Yaglikçi Haocong Luo Ataberk Olgun Patrick Jattke Minesh Patel Jeremie S. Kim Kaveh Razavi Onur Mutlu 11 3 0 08 Oct 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 35 42 0 21 Sep 2022
Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs S. Qutub Florian Geissler Ya-ti Peng Ralf Gräfe Michael Paulitsch Gereon Hinz Alois C. Knoll AAML 29 5 0 07 Sep 2022
Versatile Weight Attack via Flipping Limited Bits Jiawang Bai Baoyuan Wu Zhifeng Li Shutao Xia AAML 21 17 0 25 Jul 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 18 3 0 09 Jan 2022