ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.10496
  4. Cited By
Targeted Attack against Deep Neural Networks via Flipping Limited Weight
  Bits

Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits

21 February 2021
Jiawang Bai
Baoyuan Wu
Yong Zhang
Yiming Li
Zhifeng Li
Shutao Xia
    AAML
ArXivPDFHTML

Papers citing "Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits"

33 / 33 papers shown
Title
Retrospective: Flipping Bits in Memory Without Accessing Them: An
  Experimental Study of DRAM Disturbance Errors
Retrospective: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors
O. Mutlu
60
576
0
28 Jun 2023
CD-UAP: Class Discriminative Universal Adversarial Perturbation
CD-UAP: Class Discriminative Universal Adversarial Perturbation
Chaoning Zhang
Philipp Benz
Tooba Imtiaz
In So Kweon
AAML
37
61
0
07 Oct 2020
Blackbox Trojanising of Deep Learning Models : Using non-intrusive
  network structure and binary alterations
Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations
Jonathan Pan
AAML
106
3
0
02 Aug 2020
Understanding Adversarial Examples from the Mutual Influence of Images
  and Perturbations
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations
Chaoning Zhang
Philipp Benz
Tooba Imtiaz
In-So Kweon
SSL
AAML
62
119
0
13 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu
Xingjun Ma
James Bailey
Feng Lu
AAML
88
512
0
05 Jul 2020
Targeted Attack for Deep Hashing based Retrieval
Targeted Attack for Deep Hashing based Retrieval
Jiawang Bai
Bin Chen
Yiming Li
Dongxian Wu
Weiwei Guo
Shutao Xia
En-Hui Yang
AAML
86
85
0
15 Apr 2020
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
Fan Yao
Adnan Siraj Rakin
Deliang Fan
AAML
46
156
0
30 Mar 2020
Adversarial Attack on Deep Product Quantization Network for Image
  Retrieval
Adversarial Attack on Deep Product Quantization Network for Image Retrieval
Yan Feng
Bin Chen
Tao Dai
Shutao Xia
AAML
33
31
0
26 Feb 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
J. Breier
Dirmanto Jap
Xiaolu Hou
S. Bhasin
Yang Liu
51
53
0
23 Feb 2020
Skip Connections Matter: On the Transferability of Adversarial Examples
  Generated with ResNets
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian Wu
Yisen Wang
Shutao Xia
James Bailey
Xingjun Ma
AAML
SILM
73
312
0
14 Feb 2020
Robust Anomaly Detection and Backdoor Attack Detection Via Differential
  Privacy
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy
Min Du
R. Jia
D. Song
AAML
69
176
0
16 Nov 2019
Hidden Trigger Backdoor Attacks
Hidden Trigger Backdoor Attacks
Aniruddha Saha
Akshayvarun Subramanya
Hamed Pirsiavash
81
622
0
30 Sep 2019
TBT: Targeted Neural Network Attack with Bit Trojan
TBT: Targeted Neural Network Attack with Bit Trojan
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
AAML
46
213
0
10 Sep 2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural
  Networks Under Hardware Fault Attacks
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
53
211
0
03 Jun 2019
Unlabeled Data Improves Adversarial Robustness
Unlabeled Data Improves Adversarial Robustness
Y. Carmon
Aditi Raghunathan
Ludwig Schmidt
Percy Liang
John C. Duchi
119
751
0
31 May 2019
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural
  Networks
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks
Pu Zhao
Siyue Wang
Cheng Gongye
Yanzhi Wang
Yunsi Fei
Xinyu Lin
AAML
40
75
0
28 May 2019
Exact Adversarial Attack to Image Captioning via Structured Output
  Learning with Latent Variables
Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
Yan Xu
Baoyuan Wu
Fumin Shen
Yanbo Fan
Yong Zhang
Heng Tao Shen
Wei Liu
AAML
55
56
0
10 May 2019
Efficient Decision-based Black-box Adversarial Attacks on Face
  Recognition
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition
Yinpeng Dong
Hang Su
Baoyuan Wu
Zhifeng Li
Wen Liu
Tong Zhang
Jun Zhu
CVBM
AAML
75
406
0
09 Apr 2019
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search
Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
AAML
38
221
0
28 Mar 2019
Spectral Signatures in Backdoor Attacks
Spectral Signatures in Backdoor Attacks
Brandon Tran
Jerry Li
Aleksander Madry
AAML
85
784
0
01 Nov 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural
  Networks
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
Kang Liu
Brendan Dolan-Gavitt
S. Garg
AAML
61
1,032
0
30 May 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A
  Survey
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Ajmal Mian
AAML
85
1,863
0
02 Jan 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
139
3,111
0
15 Dec 2017
Mitigating Adversarial Effects Through Randomization
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
99
1,054
0
06 Nov 2017
Neural Trojans
Neural Trojans
Yuntao Liu
Yang Xie
Ankur Srivastava
AAML
49
353
0
03 Oct 2017
Another Flip in the Wall of Rowhammer Defenses
Another Flip in the Wall of Rowhammer Defenses
Daniel Gruss
Moritz Lipp
Michael Schwarz
Daniel Genkin
Jonas Juffinger
Sioli O'Connell
Wolfgang Schoechl
Y. Yarom
54
248
0
02 Oct 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural
  Networks
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu
David Evans
Yanjun Qi
AAML
72
1,260
0
04 Apr 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
130
2,525
0
26 Oct 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
243
19,017
0
20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.5K
100,213
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.6K
39,472
0
01 Sep 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
249
14,912
1
21 Dec 2013
1