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. 2109.01300
  4. Cited By
How to Inject Backdoors with Better Consistency: Logit Anchoring on
  Clean Data

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data

3 September 2021
Zhiyuan Zhang
Lingjuan Lyu
Weiqiang Wang
Lichao Sun
Xu Sun
ArXivPDFHTML

Papers citing "How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data"

29 / 29 papers shown
Title
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability
  of the Embedding Layers in NLP Models
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
Wenkai Yang
Lei Li
Zhiyuan Zhang
Xuancheng Ren
Xu Sun
Bin He
SILM
48
149
0
29 Mar 2021
Neural Attention Distillation: Erasing Backdoor Triggers from Deep
  Neural Networks
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
Yige Li
Lingjuan Lyu
Nodens Koren
X. Lyu
Yue Liu
Xingjun Ma
AAML
FedML
63
433
0
15 Jan 2021
One-pixel Signature: Characterizing CNN Models for Backdoor Detection
One-pixel Signature: Characterizing CNN Models for Backdoor Detection
Shanjiaoyang Huang
Weiqi Peng
Zhiwei Jia
Zhuowen Tu
12
63
0
18 Aug 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Siddhant Garg
Adarsh Kumar
Vibhor Goel
Yingyu Liang
AAML
62
86
0
04 Aug 2020
Noise-Response Analysis of Deep Neural Networks Quantifies Robustness
  and Fingerprints Structural Malware
Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware
N. Benjamin Erichson
D. Taylor
Qixuan Wu
Michael W. Mahoney
AAML
24
13
0
31 Jul 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
Xiaoyu Zhang
Ajmal Mian
Rohit Gupta
Nazanin Rahnavard
M. Shah
AAML
52
26
0
28 Jul 2020
Scalable Backdoor Detection in Neural Networks
Scalable Backdoor Detection in Neural Networks
Haripriya Harikumar
Vuong Le
Santu Rana
Sourangshu Bhattacharya
Sunil R. Gupta
Svetha Venkatesh
73
23
0
10 Jun 2020
Exploring the Vulnerability of Deep Neural Networks: A Study of
  Parameter Corruption
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
Xu Sun
Zhiyuan Zhang
Xuancheng Ren
Ruixuan Luo
Liangyou Li
44
39
0
10 Jun 2020
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
Pu Zhao
Pin-Yu Chen
Payel Das
Karthikeyan N. Ramamurthy
Xue Lin
AAML
95
187
0
30 Apr 2020
Weight Poisoning Attacks on Pre-trained Models
Weight Poisoning Attacks on Pre-trained Models
Keita Kurita
Paul Michel
Graham Neubig
AAML
SILM
105
440
0
14 Apr 2020
Sub-Optimal Local Minima Exist for Neural Networks with Almost All
  Non-Linear Activations
Sub-Optimal Local Minima Exist for Neural Networks with Almost All Non-Linear Activations
Tian Ding
Dawei Li
Ruoyu Sun
41
13
0
04 Nov 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
38
212
0
10 Sep 2019
A backdoor attack against LSTM-based text classification systems
A backdoor attack against LSTM-based text classification systems
Jiazhu Dai
Chuanshuai Chen
SILM
57
324
0
29 May 2019
Backdooring Convolutional Neural Networks via Targeted Weight
  Perturbations
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations
Jacob Dumford
Walter J. Scheirer
AAML
42
117
0
07 Dec 2018
Detecting Backdoor Attacks on Deep Neural Networks by Activation
  Clustering
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
Bryant Chen
Wilka Carvalho
Wenjie Li
Heiko Ludwig
Benjamin Edwards
Chengyao Chen
Ziqiang Cao
Biplav Srivastava
AAML
70
786
0
09 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
943
93,936
0
11 Oct 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
55
1,028
0
30 May 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen
Chang-rui Liu
Yue Liu
Kimberly Lu
D. Song
AAML
SILM
80
1,822
0
15 Dec 2017
Towards Poisoning of Deep Learning Algorithms with Back-gradient
  Optimization
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
Luis Muñoz-González
Battista Biggio
Ambra Demontis
Andrea Paudice
Vasin Wongrassamee
Emil C. Lupu
Fabio Roli
AAML
89
628
0
29 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
435
129,831
0
12 Jun 2017
Train longer, generalize better: closing the generalization gap in large
  batch training of neural networks
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer
Itay Hubara
Daniel Soudry
ODL
142
799
0
24 May 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee
Jin-Hwa Kim
Jaehyun Jun
Jung-Woo Ha
Byoung-Tak Zhang
CLL
53
674
0
24 Mar 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
108
2,520
0
26 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
355
2,922
0
15 Sep 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
282
7,361
0
12 Sep 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
77
2,352
0
19 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
920
99,991
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
1.1K
39,383
0
01 Sep 2014
1