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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"

24 / 24 papers shown
Title
BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models
BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models
Zenghui Yuan
Jiawen Shi
Pan Zhou
Neil Zhenqiang Gong
Lichao Sun
AAML
66
1
0
20 Mar 2025
Concept-ROT: Poisoning Concepts in Large Language Models with Model
  Editing
Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing
Keltin Grimes
Marco Christiani
David Shriver
Marissa Connor
KELM
80
1
0
17 Dec 2024
Revocable Backdoor for Deep Model Trading
Revocable Backdoor for Deep Model Trading
Yiran Xu
Nan Zhong
Zhenxing Qian
Xinpeng Zhang
AAML
27
0
0
01 Aug 2024
Flatness-aware Sequential Learning Generates Resilient Backdoors
Flatness-aware Sequential Learning Generates Resilient Backdoors
Hoang Pham
The-Anh Ta
Anh Tran
Khoa D. Doan
FedML
AAML
31
0
0
20 Jul 2024
BadEdit: Backdooring large language models by model editing
BadEdit: Backdooring large language models by model editing
Yanzhou Li
Tianlin Li
Kangjie Chen
Jian Zhang
Shangqing Liu
Wenhan Wang
Tianwei Zhang
Yang Liu
SyDa
AAML
KELM
54
50
0
20 Mar 2024
Test-Time Backdoor Attacks on Multimodal Large Language Models
Test-Time Backdoor Attacks on Multimodal Large Language Models
Dong Lu
Tianyu Pang
Chao Du
Qian Liu
Xianjun Yang
Min-Bin Lin
AAML
51
21
0
13 Feb 2024
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
Xuandong Zhao
Lei Li
Yu-Xiang Wang
55
12
0
08 Feb 2024
Label Poisoning is All You Need
Label Poisoning is All You Need
Rishi Jha
J. Hayase
Sewoong Oh
AAML
22
28
0
29 Oct 2023
Leveraging Diffusion-Based Image Variations for Robust Training on
  Poisoned Data
Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data
Lukas Struppek
Martin Hentschel
Clifton A. Poth
Dominik Hintersdorf
Kristian Kersting
SILM
DiffM
12
4
0
10 Oct 2023
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous
  Dimensions in Pre-trained Language Models Caused by Backdoor or Bias
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias
Zhiyuan Zhang
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
26
5
0
08 May 2023
Backdoor Attacks with Input-unique Triggers in NLP
Backdoor Attacks with Input-unique Triggers in NLP
Xukun Zhou
Jiwei Li
Tianwei Zhang
Lingjuan Lyu
Muqiao Yang
Jun He
SILM
AAML
14
9
0
25 Mar 2023
Black-box Backdoor Defense via Zero-shot Image Purification
Black-box Backdoor Defense via Zero-shot Image Purification
Yucheng Shi
Mengnan Du
Xuansheng Wu
Zihan Guan
Jin Sun
Ninghao Liu
32
26
0
21 Mar 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
Zhiyuan Zhang
Lingjuan Lyu
Xingjun Ma
Chenguang Wang
Xu Sun
AAML
23
41
0
18 Oct 2022
Expose Backdoors on the Way: A Feature-Based Efficient Defense against
  Textual Backdoor Attacks
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks
Sishuo Chen
Wenkai Yang
Zhiyuan Zhang
Xiaohan Bi
Xu Sun
SILM
AAML
24
23
0
14 Oct 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with
  Dimension-wise Krum-Based Aggregation
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation
Zhiyuan Zhang
Qi Su
Xu Sun
FedML
15
12
0
13 Oct 2022
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an
  Easy-to-Replace Subnetwork
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
Haotao Wang
Junyuan Hong
Aston Zhang
Jiayu Zhou
Zhangyang Wang
AAML
28
12
0
12 Oct 2022
CATER: Intellectual Property Protection on Text Generation APIs via
  Conditional Watermarks
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
Xuanli He
Qiongkai Xu
Yi Zeng
Lingjuan Lyu
Fangzhao Wu
Jiwei Li
R. Jia
WaLM
177
71
0
19 Sep 2022
Defense against Backdoor Attacks via Identifying and Purifying Bad
  Neurons
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons
Mingyuan Fan
Yang Liu
Cen Chen
Ximeng Liu
Wenzhong Guo
AAML
11
4
0
13 Aug 2022
Black-box Dataset Ownership Verification via Backdoor Watermarking
Black-box Dataset Ownership Verification via Backdoor Watermarking
Yiming Li
Mingyan Zhu
Xue Yang
Yong Jiang
Tao Wei
Shutao Xia
AAML
24
73
0
04 Aug 2022
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation
Tong Wu
Tianhao Wang
Vikash Sehwag
Saeed Mahloujifar
Prateek Mittal
AAML
27
36
0
22 Jul 2022
Backdoor Attacks on Crowd Counting
Backdoor Attacks on Crowd Counting
Yuhua Sun
Tailai Zhang
Xingjun Ma
Pan Zhou
Jian Lou
Zichuan Xu
Xing Di
Yu Cheng
Lichao
AAML
11
15
0
12 Jul 2022
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
35
585
0
17 Jul 2020
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
273
2,878
0
15 Sep 2016
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