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CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive
  Learning

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

6 March 2023
Hritik Bansal
Nishad Singhi
Yu Yang
Fan Yin
Aditya Grover
Kai-Wei Chang
    AAML
ArXivPDFHTML

Papers citing "CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning"

35 / 35 papers shown
Title
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
Luyao Tang
Yuxuan Yuan
C. L. P. Chen
Zeyu Zhang
Yue Huang
Kun Zhang
48
0
0
24 Mar 2025
Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in Pre-trained Vision-Language Models
Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in Pre-trained Vision-Language Models
Jiawei Kong
Hao Fang
Sihang Guo
Chenxi Qing
Bin Chen
Bin Wang
Shu-Tao Xia
AAML
VLM
85
0
0
26 Feb 2025
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
Hyeonjeong Ha
Qiusi Zhan
Jeonghwan Kim
Dimitrios Bralios
Saikrishna Sanniboina
Nanyun Peng
Kai-Wei Chang
Daniel Kang
Heng Ji
KELM
AAML
57
1
0
25 Feb 2025
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Zhifang Zhang
Shuo He
Bingquan Shen
Lei Feng
Lei Feng
AAML
34
0
0
29 Dec 2024
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
Sizai Hou
Songze Li
Duanyi Yao
AAML
61
0
0
25 Nov 2024
Semantic Shield: Defending Vision-Language Models Against Backdooring
  and Poisoning via Fine-grained Knowledge Alignment
Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment
Alvi Md Ishmam
Christopher Thomas
AAML
107
3
0
23 Nov 2024
New Emerged Security and Privacy of Pre-trained Model: a Survey and
  Outlook
New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook
Meng Yang
Tianqing Zhu
Chi Liu
Wanlei Zhou
Shui Yu
Philip S. Yu
AAML
ELM
PILM
45
1
0
12 Nov 2024
Efficient Backdoor Defense in Multimodal Contrastive Learning: A
  Token-Level Unlearning Method for Mitigating Threats
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
Kuanrong Liu
Siyuan Liang
Jiawei Liang
Pengwen Dai
Xiaochun Cao
MU
AAML
19
1
0
29 Sep 2024
Towards Robust Object Detection: Identifying and Removing Backdoors via
  Module Inconsistency Analysis
Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis
Xianda Zhang
Siyuan Liang
AAML
18
0
0
24 Sep 2024
Adversarial Backdoor Defense in CLIP
Adversarial Backdoor Defense in CLIP
Junhao Kuang
Siyuan Liang
Jiawei Liang
Kuanrong Liu
Xiaochun Cao
AAML
25
1
0
24 Sep 2024
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and
  Semantically-Rich Vision-Language Models
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models
Md Zarif Hossain
Ahmed Imteaj
VLM
AAML
27
4
0
20 Jul 2024
A Survey of Attacks on Large Vision-Language Models: Resources,
  Advances, and Future Trends
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends
Daizong Liu
Mingyu Yang
Xiaoye Qu
Pan Zhou
Yu Cheng
Wei Hu
ELM
AAML
27
24
0
10 Jul 2024
TrojFM: Resource-efficient Backdoor Attacks against Very Large
  Foundation Models
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models
Yuzhou Nie
Yanting Wang
Jinyuan Jia
Michael J. De Lucia
Nathaniel D. Bastian
Wenbo Guo
Dawn Song
SILM
AAML
24
5
0
27 May 2024
Breaking the False Sense of Security in Backdoor Defense through
  Re-Activation Attack
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
Mingli Zhu
Siyuan Liang
Baoyuan Wu
AAML
26
14
0
25 May 2024
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection
Yuwei Niu
Shuo He
Qi Wei
Feng Liu
Lei Feng
AAML
33
1
0
24 May 2024
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal
  Contrastive Learning via Local Token Unlearning
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning
Siyuan Liang
Kuanrong Liu
Jiajun Gong
Jiawei Liang
Yuan Xun
Ee-Chien Chang
Xiaochun Cao
AAML
MU
16
12
0
24 Mar 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
Ziyao Liu
Huanyi Ye
Chen Chen
Yongsen Zheng
K. Lam
AAML
MU
29
28
0
20 Mar 2024
VL-Trojan: Multimodal Instruction Backdoor Attacks against
  Autoregressive Visual Language Models
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models
Jiawei Liang
Siyuan Liang
Man Luo
Aishan Liu
Dongchen Han
Ee-Chien Chang
Xiaochun Cao
30
37
0
21 Feb 2024
Exploiting Alpha Transparency In Language And Vision-Based AI Systems
Exploiting Alpha Transparency In Language And Vision-Based AI Systems
David A. Noever
Forrest McKee
AAML
21
0
0
15 Feb 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
41
21
0
13 Feb 2024
Transparency Attacks: How Imperceptible Image Layers Can Fool AI
  Perception
Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception
Forrest McKee
David A. Noever
AAML
21
2
0
29 Jan 2024
Defenses in Adversarial Machine Learning: A Survey
Defenses in Adversarial Machine Learning: A Survey
Baoyuan Wu
Shaokui Wei
Mingli Zhu
Meixi Zheng
Zihao Zhu
Mingda Zhang
Hongrui Chen
Danni Yuan
Li Liu
Qingshan Liu
AAML
17
14
0
13 Dec 2023
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
Shengsheng Qian
Yifei Wang
Dizhan Xue
Shengjie Zhang
Huaiwen Zhang
Changsheng Xu
AAML
23
1
0
13 Dec 2023
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
Jiawang Bai
Kuofeng Gao
Shaobo Min
Shu-Tao Xia
Zhifeng Li
Wei Liu
VLM
13
12
0
26 Nov 2023
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective
Sahil Verma
Gantavya Bhatt
Avi Schwarzschild
Soumye Singhal
Arnav M. Das
Chirag Shah
John P Dickerson
Jeff Bilmes
J. Bilmes
AAML
48
1
0
25 Nov 2023
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive
  Learning
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
Siyuan Liang
Mingli Zhu
Aishan Liu
Baoyuan Wu
Xiaochun Cao
Ee-Chien Chang
16
48
0
20 Nov 2023
Trustworthy Large Models in Vision: A Survey
Trustworthy Large Models in Vision: A Survey
Ziyan Guo
Li Xu
Jun Liu
MU
56
0
0
16 Nov 2023
Better Safe than Sorry: Pre-training CLIP against Targeted Data
  Poisoning and Backdoor Attacks
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
Wenhan Yang
Jingdong Gao
Baharan Mirzasoleiman
VLM
19
6
0
05 Oct 2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement
  Learning
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning
T. Shaik
Xiaohui Tao
Lin Li
Haoran Xie
Taotao Cai
Xiaofeng Zhu
Qingyuan Li
MU
11
12
0
19 Sep 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
22
25
0
10 May 2023
Detecting Backdoors in Pre-trained Encoders
Detecting Backdoors in Pre-trained Encoders
Shiwei Feng
Guanhong Tao
Shuyang Cheng
Guangyu Shen
Xiangzhe Xu
Yingqi Liu
Kaiyuan Zhang
Shiqing Ma
Xiangyu Zhang
63
45
0
23 Mar 2023
Robust Contrastive Language-Image Pre-training against Data Poisoning
  and Backdoor Attacks
Robust Contrastive Language-Image Pre-training against Data Poisoning and Backdoor Attacks
Wenhan Yang
Jingdong Gao
Baharan Mirzasoleiman
VLM
97
17
0
13 Mar 2023
CyCLIP: Cyclic Contrastive Language-Image Pretraining
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel
Hritik Bansal
S. Bhatia
Ryan A. Rossi
Vishwa Vinay
Aditya Grover
CLIP
VLM
160
131
0
28 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
380
4,010
0
28 Jan 2022
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
2,875
0
11 Feb 2021
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