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Fooling Contrastive Language-Image Pre-trained Models with
  CLIPMasterPrints

Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints

7 July 2023
Matthias Anton Freiberger
Peter Kun
Christian Igel
A. Løvlie
S. Risi
    VLM
    AAML
ArXivPDFHTML

Papers citing "Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints"

7 / 7 papers shown
Title
Text-Only Training for Image Captioning using Noise-Injected CLIP
Text-Only Training for Image Captioning using Noise-Injected CLIP
David Nukrai
Ron Mokady
Amir Globerson
VLM
CLIP
47
69
0
01 Nov 2022
Discovering the Hidden Vocabulary of DALLE-2
Discovering the Hidden Vocabulary of DALLE-2
Giannis Daras
A. Dimakis
109
64
0
01 Jun 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
385
4,010
0
28 Jan 2022
Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz
Jacob Schrum
Jialin Liu
Simon Lucas
Adam M. Smith
S. Risi
GAN
65
229
0
02 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
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
279
39,083
0
01 Sep 2014
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