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On Memorization in Probabilistic Deep Generative Models

On Memorization in Probabilistic Deep Generative Models

6 June 2021
G. V. D. Burg
Christopher K. I. Williams
    TDI
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Papers citing "On Memorization in Probabilistic Deep Generative Models"

13 / 13 papers shown
Title
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art
Haroon Wahab
Hassan Ugail
Irfan Mehmood
AAML
34
0
0
13 May 2025
On Memorization in Diffusion Models
On Memorization in Diffusion Models
Xiangming Gu
Chao Du
Tianyu Pang
Chongxuan Li
Min-Bin Lin
Ye Wang
DiffM
TDI
166
43
0
21 Feb 2025
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Yuncheng Hua
Yujin Huang
Shuo Huang
Tao Feng
Lizhen Qu
Chris Bain
R. Bassed
Gholamreza Haffari
CML
OOD
53
2
0
18 Jun 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi
Hang Li
Jiliang Tang
Marco Cristani
AI4TS
GNN
54
3
0
27 Sep 2023
Gradient Surgery for One-shot Unlearning on Generative Model
Gradient Surgery for One-shot Unlearning on Generative Model
Seohui Bae
Seoyoon Kim
Hyemin Jung
Woohyung Lim
BDL
MU
24
8
0
10 Jul 2023
Structured Generative Models for Scene Understanding
Structured Generative Models for Scene Understanding
Christopher K. I. Williams
OCL
3DV
19
3
0
07 Feb 2023
Extracting Training Data from Diffusion Models
Extracting Training Data from Diffusion Models
Nicholas Carlini
Jamie Hayes
Milad Nasr
Matthew Jagielski
Vikash Sehwag
Florian Tramèr
Borja Balle
Daphne Ippolito
Eric Wallace
DiffM
63
569
0
30 Jan 2023
A Pareto-optimal compositional energy-based model for sampling and
  optimization of protein sequences
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences
Natavsa Tagasovska
Nathan C. Frey
Andreas Loukas
I. Hotzel
J. Lafrance-Vanasse
...
A. Rajpal
Richard Bonneau
Kyunghyun Cho
Stephen Ra
Vladimir Gligorijević
8
11
0
19 Oct 2022
Data Isotopes for Data Provenance in DNNs
Data Isotopes for Data Provenance in DNNs
Emily Wenger
Xiuyu Li
Ben Y. Zhao
Vitaly Shmatikov
20
12
0
29 Aug 2022
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Nikhil Kandpal
Eric Wallace
Colin Raffel
PILM
MU
28
274
0
14 Feb 2022
Influence Estimation for Generative Adversarial Networks
Influence Estimation for Generative Adversarial Networks
Naoyuki Terashita
Hiroki Ohashi
Yuichi Nonaka
T. Kanemaru
TDI
30
12
0
20 Jan 2021
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
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