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Certifiably Robust Variational Autoencoders
v1v2v3 (latest)

Certifiably Robust Variational Autoencoders

15 February 2021
Ben Barrett
A. Camuto
M. Willetts
Tom Rainforth
    AAMLDRL
ArXiv (abs)PDFHTML

Papers citing "Certifiably Robust Variational Autoencoders"

13 / 13 papers shown
Title
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
Hong-Ming Chiu
Hao Chen
Huan Zhang
Richard Y. Zhang
10
0
0
07 Jun 2025
ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders
ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders
Chethan Krishnamurthy Ramanaik
Arjun Roy
Eirini Ntoutsi
AAML
45
0
0
06 May 2025
Support is All You Need for Certified VAE Training
Support is All You Need for Certified VAE Training
Changming Xu
Debangshu Banerjee
Deepak Vasisht
Gagandeep Singh
AAML
66
0
0
16 Apr 2025
Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems
Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems
Weifei Jin
Yuxin Cao
Junjie Su
Derui Wang
Yedi Zhang
Minhui Xue
Jie Hao
Jin Song Dong
Yixian Yang
AAML
73
0
0
01 Apr 2025
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian
  Theory
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory
S. Mbacke
Florence Clerc
Pascal Germain
DRL
104
13
0
07 Oct 2023
Vacant Holes for Unsupervised Detection of the Outliers in Compact
  Latent Representation
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation
Misha Glazunov
Apostolis Zarras
AAMLDRL
45
1
0
16 Jun 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic
  Review
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
Mathias Lundteigen Mohus
Jinyue Li
AAML
77
1
0
01 Jun 2023
Adversarial robustness of amortized Bayesian inference
Adversarial robustness of amortized Bayesian inference
Manuel Glöckler
Michael Deistler
Jakob H. Macke
AAML
92
16
0
24 May 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the
  Decoder Network
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
Yuri Kinoshita
Kenta Oono
Kenji Fukumizu
Yuichi Yoshida
S. Maeda
DRLBDL
66
2
0
25 Apr 2023
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Anna Kuzina
Max Welling
Jakub M. Tomczak
AAMLDRL
82
12
0
18 Mar 2022
Model Inversion Attack against Transfer Learning: Inverting a Model
  without Accessing It
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It
Dayong Ye
Huiqiang Chen
Shuai Zhou
Tianqing Zhu
Wanlei Zhou
S. Ji
MIACV
69
6
0
13 Mar 2022
Variational Autoencoders: A Harmonic Perspective
Variational Autoencoders: A Harmonic Perspective
A. Camuto
M. Willetts
DRL
51
1
0
31 May 2021
Improving Transformation Invariance in Contrastive Representation
  Learning
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster
Rattana Pukdee
Tom Rainforth
102
23
0
19 Oct 2020
1