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Perfectly Secure Steganography Using Minimum Entropy Coupling
v1v2v3v4 (latest)

Perfectly Secure Steganography Using Minimum Entropy Coupling

24 October 2022
Christian Schroeder de Witt
Samuel Sokota
J. Zico Kolter
Jakob N. Foerster
Martin Strohmeier
ArXiv (abs)PDFHTML

Papers citing "Perfectly Secure Steganography Using Minimum Entropy Coupling"

24 / 24 papers shown
Title
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
Dominik Meier
Jan Philip Wahle
Paul Röttger
Terry Ruas
Bela Gipp
PILM
56
0
0
26 May 2025
The Steganographic Potentials of Language Models
The Steganographic Potentials of Language Models
Artem Karpov
Tinuade Adeleke
Seong Hah Cho
Natalia Perez-Campanero
71
0
0
06 May 2025
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
Christian Schroeder de Witt
AAMLAI4CE
483
6
0
04 May 2025
Provably Secure Public-Key Steganography Based on Admissible Encoding
Provably Secure Public-Key Steganography Based on Admissible Encoding
Xinsong Zhang
Kejiang Chen
Na Zhao
Weinan Zhang
N. Yu
76
0
0
28 Apr 2025
Provable Secure Steganography Based on Adaptive Dynamic Sampling
Provable Secure Steganography Based on Adaptive Dynamic Sampling
Kaiyi Pang
DiffM
55
0
0
17 Apr 2025
SparSamp: Efficient Provably Secure Steganography Based on Sparse Sampling
SparSamp: Efficient Provably Secure Steganography Based on Sparse Sampling
Yaofei Wang
Gang Pei
Kejiang Chen
Jinyang Ding
Chao Pan
Weilong Pang
Donghui Hu
Weinan Zhang
79
2
0
25 Mar 2025
Learning to Match Unpaired Data with Minimum Entropy Coupling
Mustapha Bounoua
Giulio Franzese
Pietro Michiardi
120
0
0
11 Mar 2025
PSyDUCK: Training-Free Steganography for Latent Diffusion
PSyDUCK: Training-Free Steganography for Latent Diffusion
Georgia Channing
Aqib Mahfuz
Mark van der Wilk
Philip Torr
Fabio Pizzati
Christian Schroeder de Witt
DiffM
128
0
0
31 Jan 2025
Shifting-Merging: Secure, High-Capacity and Efficient Steganography via Large Language Models
Minhao Bai
Jinshuai Yang
Kaiyi Pang
Yongfeng Huang
Yue Gao
111
1
0
03 Jan 2025
Semantic Steganography: A Framework for Robust and High-Capacity
  Information Hiding using Large Language Models
Semantic Steganography: A Framework for Robust and High-Capacity Information Hiding using Large Language Models
Minhao Bai
Jinshuai Yang
Kaiyi Pang
Yongfeng Huang
Yue Gao
87
1
0
15 Dec 2024
Minimum Entropy Coupling with Bottleneck
Minimum Entropy Coupling with Bottleneck
MohammadReza Ebrahimi
Jun Chen
Ashish Khisti
45
2
0
29 Oct 2024
Towards Measuring Goal-Directedness in AI Systems
Towards Measuring Goal-Directedness in AI Systems
Dylan Xu
Juan-Pablo Rivera
72
3
0
07 Oct 2024
Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion
  in LLMs
Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs
Yohan Mathew
Ollie Matthews
Robert McCarthy
Joan Velja
Christian Schroeder de Witt
Dylan R. Cope
Nandi Schoots
79
6
0
02 Oct 2024
Watermarking Language Models with Error Correcting Codes
Watermarking Language Models with Error Correcting Codes
Patrick Chao
Yan Sun
Edgar Dobriban
Hamed Hassani
WaLM
176
4
0
12 Jun 2024
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits
Andis Draguns
Andrew Gritsevskiy
S. Motwani
Charlie Rogers-Smith
Jeffrey Ladish
Christian Schroeder de Witt
162
2
0
03 Jun 2024
Computing Low-Entropy Couplings for Large-Support Distributions
Computing Low-Entropy Couplings for Large-Support Distributions
Samuel Sokota
Dylan Sam
Christian Schroeder de Witt
Spencer Compton
Jakob N. Foerster
J. Zico Kolter
472
1
0
29 May 2024
Towards Next-Generation Steganalysis: LLMs Unleash the Power of
  Detecting Steganography
Towards Next-Generation Steganalysis: LLMs Unleash the Power of Detecting Steganography
Minhao Bai
Kaiyi Pang
Huili Wang
Yongfeng Huang
36
4
0
15 May 2024
Provably Secure Disambiguating Neural Linguistic Steganography
Provably Secure Disambiguating Neural Linguistic Steganography
Yuang Qi
Kejiang Chen
Kai Zeng
Weiming Zhang
Neng H. Yu
43
5
0
26 Mar 2024
Prompting a Pretrained Transformer Can Be a Universal Approximator
Prompting a Pretrained Transformer Can Be a Universal Approximator
Aleksandar Petrov
Philip Torr
Adel Bibi
74
12
0
22 Feb 2024
Secret Collusion among Generative AI Agents: Multi-Agent Deception via Steganography
Secret Collusion among Generative AI Agents: Multi-Agent Deception via Steganography
S. Motwani
Mikhail Baranchuk
Martin Strohmeier
Vijay Bolina
Philip Torr
Lewis Hammond
Christian Schroeder de Witt
184
4
0
12 Feb 2024
Excuse me, sir? Your language model is leaking (information)
Excuse me, sir? Your language model is leaking (information)
Or Zamir
WaLM
130
7
0
18 Jan 2024
Advancing Beyond Identification: Multi-bit Watermark for Large Language
  Models
Advancing Beyond Identification: Multi-bit Watermark for Large Language Models
Kiyoon Yoo
Wonhyuk Ahn
Nojun Kwak
WaLM
98
23
0
01 Aug 2023
Exploring the Relevance of Data Privacy-Enhancing Technologies for AI
  Governance Use Cases
Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases
Emma Bluemke
Tantum Collins
Ben Garfinkel
Andrew Trask
63
10
0
15 Mar 2023
Leveraging Generative Models for Covert Messaging: Challenges and
  Tradeoffs for "Dead-Drop" Deployments
Leveraging Generative Models for Covert Messaging: Challenges and Tradeoffs for "Dead-Drop" Deployments
L. A. Bauer
IV JamesK.Howes
Sam A. Markelon
Vincent Bindschaedler
Thomas Shrimpton
37
2
0
13 Oct 2021
1