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A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
v1v2v3v4 (latest)

A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse

IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
20 August 2024
Zhongliang Guo
Chun Tong Lei
Lei Fang
Shuai Zhao
Shuai Zhao
Jingyu Lin
Zeyu Wang
Cunjian Chen
Ognjen Arandjelovic
Chun Pong Lau
    DiffMAAML
ArXiv (abs)PDFHTMLGithub (58★)

Papers citing "A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse"

43 / 43 papers shown
Title
Immunizing Images from Text to Image Editing via Adversarial Cross-Attention
Immunizing Images from Text to Image Editing via Adversarial Cross-Attention
Matteo Trippodo
Federico Becattini
Lorenzo Seidenari
DiffMAAML
120
0
0
12 Sep 2025
DUP: Detection-guided Unlearning for Backdoor Purification in Language Models
DUP: Detection-guided Unlearning for Backdoor Purification in Language Models
Man Hu
Yahui Ding
Yatao Yang
Liangyu Chen
Yanhao Jia
Shuai Zhao
AAMLMU
130
3
0
03 Aug 2025
Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
Zhongliang Guo
Shuai Zhao
Yanli Li
Weiye Li
Chun Tong Lei
Shuai Zhao
Lei Fang
Ognjen Arandjelović
Chun Pong Lau
AAML
202
2
0
03 Aug 2025
Towards more transferable adversarial attack in black-box manner
Chun Tong Lei
Zhongliang Guo
Hon Chung Lee
Minh Quoc Duong
Chun Pong Lau
DiffMAAML
733
2
0
23 May 2025
My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping
My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping
Hon Ming Yam
Zhongliang Guo
Chun Pong Lau
DiffMAAML
229
1
0
21 May 2025
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot CountingComputer Vision and Pattern Recognition (CVPR), 2025
Shuai Zhao
Zhongliang Guo
Bowen Deng
Chun Tong Lei
Shuai Zhao
Chun Pong Lau
Xiaopeng Hong
Michael P. Pound
DiffM
503
8
0
28 Feb 2025
Protective Perturbations against Unauthorized Data Usage in
  Diffusion-based Image Generation
Protective Perturbations against Unauthorized Data Usage in Diffusion-based Image GenerationInternational Conference on Advanced Cloud and Big Data (ICACBD), 2024
Sen Peng
Jijia Yang
Mingyue Wang
Jianfei He
Xiaohua Jia
DiffM
198
1
0
25 Dec 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive
  Survey and Challenges
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
Yanli Li
Zhongliang Guo
Nan Yang
Huaming Chen
Dong Yuan
Weiping Ding
FedML
277
17
0
09 Jul 2024
Artwork Protection Against Neural Style Transfer Using Locally Adaptive
  Adversarial Color Attack
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack
Zhongliang Guo
Junhao Dong
Shuai Zhao
Kaixuan Wang
Weiye Li
Ziheng Guo
Yuheng Wang
Yanli Li
Ognjen Arandjelović
Lei Fang
AAML
346
17
0
18 Jan 2024
Instruct2Attack: Language-Guided Semantic Adversarial Attacks
Instruct2Attack: Language-Guided Semantic Adversarial Attacks
Jiang-Long Liu
Chen Wei
Yuxiang Guo
Heng Yu
Yaoyao Liu
Soheil Feizi
Chun Pong Lau
Rama Chellappa
DiffMAAML
215
11
0
27 Nov 2023
Toward effective protection against diffusion based mimicry through
  score distillation
Toward effective protection against diffusion based mimicry through score distillationInternational Conference on Learning Representations (ICLR), 2023
Haotian Xue
Chumeng Liang
Xiaoyu Wu
Yongxin Chen
DiffMAAML
409
59
0
02 Oct 2023
A White-Box False Positive Adversarial Attack Method on Contrastive Loss
  Based Offline Handwritten Signature Verification Models
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Zhongliang Guo
Weiye Li
Shuai Zhao
Ognjen Arandjelovic
Lei Fang
AAML
266
19
0
17 Aug 2023
Mist: Towards Improved Adversarial Examples for Diffusion Models
Mist: Towards Improved Adversarial Examples for Diffusion Models
Chumeng Liang
Xiaoyu Wu
DiffM
208
84
0
22 May 2023
Raising the Cost of Malicious AI-Powered Image Editing
Raising the Cost of Malicious AI-Powered Image EditingInternational Conference on Machine Learning (ICML), 2023
Hadi Salman
Alaa Khaddaj
Guillaume Leclerc
Andrew Ilyas
Aleksander Madry
DiffM
244
161
0
13 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from
  Diffusion Models via Adversarial Examples
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial ExamplesInternational Conference on Machine Learning (ICML), 2023
Chumeng Liang
Xiaoyu Wu
Yang Hua
Jiaru Zhang
Yiming Xue
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
DiffMWIGM
225
182
0
09 Feb 2023
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models
Glaze: Protecting Artists from Style Mimicry by Text-to-Image ModelsUSENIX Security Symposium (USENIX Security), 2023
Shawn Shan
Jenna Cryan
Emily Wenger
Haitao Zheng
Rana Hanocka
Ben Y. Zhao
WIGM
497
241
0
08 Feb 2023
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Alleviating Adversarial Attacks on Variational Autoencoders with MCMCNeural Information Processing Systems (NeurIPS), 2022
Anna Kuzina
Max Welling
Jakub M. Tomczak
AAMLDRL
201
14
0
18 Mar 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 GenerationInternational Conference on Machine Learning (ICML), 2022
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLMBDLVLMCLIP
1.3K
5,673
0
28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
DiffM
2.6K
20,839
0
20 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and
  Generalizable Defenses
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Chun Pong Lau
Jiang-Long Liu
Hossein Souri
Wei-An Lin
Soheil Feizi
Ramalingam Chellappa
AAML
220
17
0
12 Dec 2021
Vector-quantized Image Modeling with Improved VQGAN
Vector-quantized Image Modeling with Improved VQGANInternational Conference on Learning Representations (ICLR), 2021
Jiahui Yu
Xin Li
Jing Yu Koh
Han Zhang
Ruoming Pang
James Qin
Alexander Ku
Yuanzhong Xu
Jason Baldridge
Yonghui Wu
ViTVLMDRL
471
672
0
09 Oct 2021
Torch.manual_seed(3407) is all you need: On the influence of random
  seeds in deep learning architectures for computer vision
Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision
David Picard
3DVVLM
222
116
0
16 Sep 2021
Variational Diffusion Models
Variational Diffusion Models
Diederik P. Kingma
Tim Salimans
Ben Poole
Jonathan Ho
DiffM
839
1,351
0
01 Jul 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image SynthesisNeural Information Processing Systems (NeurIPS), 2021
Prafulla Dhariwal
Alex Nichol
2.5K
10,265
0
11 May 2021
VideoGPT: Video Generation using VQ-VAE and Transformers
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan
Yunzhi Zhang
Pieter Abbeel
A. Srinivas
ViTVGen
605
638
0
20 Apr 2021
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image SynthesisComputer Vision and Pattern Recognition (CVPR), 2020
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
651
3,747
0
17 Dec 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
1.5K
10,154
0
06 Oct 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp
  Adversarial Attacks
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial AttacksNeural Information Processing Systems (NeurIPS), 2020
Wei-An Lin
Chun Pong Lau
Alexander Levine
Ramalingam Chellappa
Soheil Feizi
AAML
244
63
0
05 Sep 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
4.8K
25,499
0
19 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning LibraryNeural Information Processing Systems (NeurIPS), 2019
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
976
48,480
0
03 Dec 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial
  Attacks
Nesterov Accelerated Gradient and Scale Invariance for Adversarial AttacksInternational Conference on Learning Representations (ICLR), 2019
Jiadong Lin
Chuanbiao Song
Kun He
Liwei Wang
John E. Hopcroft
AAML
661
700
0
17 Aug 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Generating Diverse High-Fidelity Images with VQ-VAE-2Neural Information Processing Systems (NeurIPS), 2019
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRLBDL
563
2,122
0
02 Jun 2019
Preventing Posterior Collapse with delta-VAEs
Preventing Posterior Collapse with delta-VAEs
Ali Razavi
Aaron van den Oord
Ben Poole
Oriol Vinyals
DRL
267
180
0
10 Jan 2019
Adversarial Attacks on Variational Autoencoders
Adversarial Attacks on Variational Autoencoders
George Gondim-Ribeiro
Pedro Tabacof
Eduardo Valle
AAMLDRL
122
44
0
12 Jun 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
2.0K
15,140
0
11 Jan 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
1.3K
13,679
0
19 Jun 2017
Adversarial examples for generative models
Adversarial examples for generative models
Jernej Kos
Ian S. Fischer
Basel Alomair
GAN
187
283
0
22 Feb 2017
Adversarial Images for Variational Autoencoders
Adversarial Images for Variational Autoencoders
Pedro Tabacof
Julia Tavares
Eduardo Valle
DRLAAML
137
89
0
01 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
998
21,367
0
21 Nov 2016
Generating Images with Perceptual Similarity Metrics based on Deep
  Networks
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy
Thomas Brox
DRLGAN
392
1,178
0
08 Feb 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2014
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
1.5K
20,947
0
20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014
Karen Simonyan
Andrew Zisserman
FAttMDE
3.6K
108,044
0
04 Sep 2014
Intriguing properties of neural networks
Intriguing properties of neural networksInternational Conference on Learning Representations (ICLR), 2013
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
725
15,980
1
21 Dec 2013
1