ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.15955
  4. Cited By
Finding needles in a haystack: A Black-Box Approach to Invisible
  Watermark Detection
v1v2v3 (latest)

Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection

23 March 2024
Minzhou Pan
Zhengting Wang
Xin Dong
Vikash Sehwag
Lingjuan Lyu
Xue Lin
ArXiv (abs)PDFHTML

Papers citing "Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection"

16 / 16 papers shown
Title
Robustness of AI-Image Detectors: Fundamental Limits and Practical
  Attacks
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Mehrdad Saberi
Vinu Sankar Sadasivan
Keivan Rezaei
Aounon Kumar
Atoosa Malemir Chegini
Wenxiao Wang
Soheil Feizi
WIGMAAML
79
47
0
29 Sep 2023
Deep Learning for Steganalysis of Diverse Data Types: A review of
  methods, taxonomy, challenges and future directions
Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions
Hamza Kheddar
Mustapha Hemis
Yassine Himeur
David Megías
Abbes Amira
AAML
74
37
0
08 Aug 2023
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are
  Invisible and Robust
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Yuxin Wen
John Kirchenbauer
Jonas Geiping
Tom Goldstein
WIGM
101
115
0
31 May 2023
Evading Watermark based Detection of AI-Generated Content
Evading Watermark based Detection of AI-Generated Content
Zhengyuan Jiang
Jinghuai Zhang
Neil Zhenqiang Gong
WIGM
78
82
0
05 May 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Pierre Fernandez
Guillaume Couairon
Hervé Jégou
Matthijs Douze
Teddy Furon
WIGM
114
197
0
27 Mar 2023
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep
  Learning Paradigms
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms
Minzhou Pan
Yi Zeng
Lingjuan Lyu
Xinyu Lin
R. Jia
AAML
65
37
0
22 Feb 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
VLMMLLM
429
4,642
0
30 Jan 2023
Autoregressive Perturbations for Data Poisoning
Autoregressive Perturbations for Data Poisoning
Pedro Sandoval-Segura
Vasu Singla
Jonas Geiping
Micah Goldblum
Tom Goldstein
David Jacobs
AAML
85
41
0
08 Jun 2022
Towards A Proactive ML Approach for Detecting Backdoor Poison Samples
Towards A Proactive ML Approach for Detecting Backdoor Poison Samples
Xiangyu Qi
Tinghao Xie
Jiachen T. Wang
Tong Wu
Saeed Mahloujifar
Prateek Mittal
AAML
60
52
0
26 May 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
496
15,768
0
20 Dec 2021
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective
Yi Zeng
Won Park
Z. Morley Mao
R. Jia
AAML
60
215
0
07 Apr 2021
A Brief Survey on Deep Learning Based Data Hiding
A Brief Survey on Deep Learning Based Data Hiding
Chaoning Zhang
Chenguo Lin
Philipp Benz
Kejiang Chen
Weiming Zhang
In So Kweon
40
36
0
02 Mar 2021
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
292
7,492
0
06 Oct 2020
HiDDeN: Hiding Data With Deep Networks
HiDDeN: Hiding Data With Deep Networks
Jiren Zhu
Russell Kaplan
Justin Johnson
Li Fei-Fei
WIGM
54
755
0
26 Jul 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
317
12,138
0
19 Jun 2017
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
434
43,832
0
01 May 2014
1