DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers

30 July 2024

Camilo A. Mart´ınez-Mej´ıa

Papers citing "DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers"

23 / 23 papers shown

Title
Retrospective: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors O. Mutlu 99 576 0 28 Jun 2023
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories Adnan Siraj Rakin Md Hafizul Islam Chowdhuryy Fan Yao Deliang Fan AAML MIACV 79 117 0 08 Nov 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Yue Liu Xingjun Ma OnRL 93 338 0 22 Oct 2021
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training J. Breier Xiaolu Hou Martín Ochoa Jesus Solano SILM AAML 72 10 0 23 Sep 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie Minghao Chen Pin-Yu Chen Yue Liu FedML 101 172 0 15 Jun 2021
Backdoor Attack in the Physical World Yiming Li Tongqing Zhai Yong Jiang Zhifeng Li Shutao Xia 77 113 0 06 Apr 2021
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy Adnan Siraj Rakin Li Yang Jingtao Li Fan Yao C. Chakrabarti Yu Cao Jae-sun Seo Deliang Fan AAML MQ 68 27 0 22 Mar 2021
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits Jiawang Bai Baoyuan Wu Yong Zhang Yiming Li Zhifeng Li Shutao Xia AAML 101 75 0 21 Feb 2021
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery Jingtao Li Adnan Siraj Rakin Zhezhi He Deliang Fan C. Chakrabarti AAML 59 42 0 20 Jan 2021
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges Liangkai Liu Sidi Lu Ren Zhong Baofu Wu Yongtao Yao Qingyan Zhang Weisong Shi 106 280 0 30 Sep 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors? Siddhant Garg Adarsh Kumar Vibhor Goel Yingyu Liang AAML 114 88 0 04 Aug 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 150 613 0 17 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 105 518 0 05 Jul 2020
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models Yao Deng Xi Zheng Tianyi Zhang Chen Chen Guannan Lou Miryung Kim AAML 53 143 0 06 Feb 2020
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks Sanghyun Hong Pietro Frigo Yigitcan Kaya Cristiano Giuffrida Tudor Dumitras AAML 56 213 0 03 Jun 2019
RowHammer: A Retrospective O. Mutlu Jeremie S. Kim 72 231 0 22 Apr 2019
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations Jacob Dumford Walter J. Scheirer AAML 73 120 0 07 Dec 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 170 1,208 0 23 Apr 2018
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 84 3,241 0 22 Mar 2018
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 132 1,784 0 22 Aug 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 884 36,910 0 25 Aug 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
Formal verification of a software countermeasure against instruction skip attacks Nicolas Moro K. Heydemann Emmanuelle Encrenaz-Tiphène B. Robisson 66 109 0 26 Feb 2014