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Task-Agnostic Attacks Against Vision Foundation Models

5 March 2025
Brian Pulfer
Yury Belousov
Vitaliy Kinakh
Teddy Furon
S. Voloshynovskiy
    AAML
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Papers citing "Task-Agnostic Attacks Against Vision Foundation Models"

28 / 28 papers shown
Title
Florence-2: Advancing a Unified Representation for a Variety of Vision
  Tasks
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
Bin Xiao
Haiping Wu
Weijian Xu
Xiyang Dai
Houdong Hu
Yumao Lu
Michael Zeng
Ce Liu
Lu Yuan
VLM
87
160
0
10 Nov 2023
Adversarial Attacks on Foundational Vision Models
Adversarial Attacks on Foundational Vision Models
Nathan Inkawhich
Gwendolyn McDonald
R. Luley
VLM
61
13
0
28 Aug 2023
Can Self-Supervised Representation Learning Methods Withstand
  Distribution Shifts and Corruptions?
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
Prakash Chandra Chhipa
Johan Rodahl Holmgren
Kanjar De
Rajkumar Saini
Marcus Liwicki
SSL
OOD
55
6
0
31 Jul 2023
ReLoRA: High-Rank Training Through Low-Rank Updates
ReLoRA: High-Rank Training Through Low-Rank Updates
Vladislav Lialin
Namrata Shivagunde
Sherin Muckatira
Anna Rumshisky
BDL
74
110
0
11 Jul 2023
Modularized Zero-shot VQA with Pre-trained Models
Modularized Zero-shot VQA with Pre-trained Models
Rui Cao
Jing Jiang
LRM
67
2
0
27 May 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
401
4,508
0
30 Jan 2023
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models
  with Zero Training
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
A. M. H. Tiong
Junnan Li
Boyang Albert Li
Silvio Savarese
Guosheng Lin
MLLM
67
107
0
17 Oct 2022
Exploring Adversarial Attacks and Defenses in Vision Transformers
  trained with DINO
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO
Javier Rando
Nasib Naimi
Thomas Baumann
Max Mathys
AAML
35
5
0
14 Jun 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
75
318
0
14 Apr 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
83
394
0
07 Feb 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
Guosheng Lin
MLLM
BDL
VLM
CLIP
490
4,324
0
28 Jan 2022
Watermarking Images in Self-Supervised Latent Spaces
Watermarking Images in Self-Supervised Latent Spaces
Pierre Fernandez
Alexandre Sablayrolles
Teddy Furon
Hervé Jégou
Matthijs Douze
WIGM
47
86
0
17 Dec 2021
Grounded Language-Image Pre-training
Grounded Language-Image Pre-training
Liunian Harold Li
Pengchuan Zhang
Haotian Zhang
Jianwei Yang
Chunyuan Li
...
Lu Yuan
Lei Zhang
Lei Li
Kai-Wei Chang
Jianfeng Gao
ObjD
VLM
93
1,058
0
07 Dec 2021
Swin Transformer V2: Scaling Up Capacity and Resolution
Swin Transformer V2: Scaling Up Capacity and Resolution
Ze Liu
Han Hu
Yutong Lin
Zhuliang Yao
Zhenda Xie
...
Yue Cao
Zheng Zhang
Li Dong
Furu Wei
B. Guo
ViT
203
1,801
0
18 Nov 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
371
10,226
0
17 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
217
2,807
0
15 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
611
6,029
0
29 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
808
29,167
0
26 Feb 2021
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
Maura Pintor
Fabio Roli
Wieland Brendel
Battista Biggio
AAML
74
73
0
25 Feb 2021
SurFree: a fast surrogate-free black-box attack
SurFree: a fast surrogate-free black-box attack
Thibault Maho
Teddy Furon
Erwan Le Merrer
AAML
37
91
0
25 Nov 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
354
42,299
0
03 Dec 2019
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Filip Radenovic
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
49
379
0
29 Mar 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
SILM
OOD
265
12,029
0
19 Jun 2017
Adversarial Examples for Semantic Segmentation and Object Detection
Adversarial Examples for Semantic Segmentation and Object Detection
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Yuyin Zhou
Lingxi Xie
Alan Yuille
GAN
AAML
102
930
0
24 Mar 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
320
3,224
0
02 Dec 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
222
8,533
0
16 Aug 2016
Microsoft COCO Captions: Data Collection and Evaluation Server
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen
Hao Fang
Nayeon Lee
Ramakrishna Vedantam
Saurabh Gupta
Piotr Dollar
C. L. Zitnick
203
2,469
0
01 Apr 2015
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
235
14,893
1
21 Dec 2013
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