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Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework
v1v2 (latest)

Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework

11 June 2023
Minglei Yin
Bin Liu
Neil Zhenqiang Gong
Xin Li
    AAML
ArXiv (abs)PDFHTML

Papers citing "Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework"

32 / 32 papers shown
Title
Vision Transformers are Robust Learners
Vision Transformers are Robust Learners
Sayak Paul
Pin-Yu Chen
ViT
61
312
0
17 May 2021
A Survey of Machine Learning for Computer Architecture and Systems
A Survey of Machine Learning for Computer Architecture and Systems
Nan Wu
Yuan Xie
AI4TSAI4CE
76
150
0
16 Feb 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Nayeon Lee
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
357
992
0
27 Jan 2021
Data Poisoning Attacks to Deep Learning Based Recommender Systems
Data Poisoning Attacks to Deep Learning Based Recommender Systems
Hai Huang
Jiaming Mu
Neil Zhenqiang Gong
Qi Li
Bin Liu
Mingwei Xu
AAML
76
129
0
07 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks,
  and Defenses
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum
Dimitris Tsipras
Chulin Xie
Xinyun Chen
Avi Schwarzschild
Basel Alomair
Aleksander Madry
Yue Liu
Tom Goldstein
SILM
93
281
0
18 Dec 2020
A Black-Box Attack Model for Visually-Aware Recommender Systems
A Black-Box Attack Model for Visually-Aware Recommender Systems
Rami Cohen
Oren Sar Shalom
Dietmar Jannach
A. Amir
34
28
0
05 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
153
1,230
0
04 Nov 2020
Robust Pre-Training by Adversarial Contrastive Learning
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang
Tianlong Chen
Ting-Li Chen
Zhangyang Wang
98
233
0
26 Oct 2020
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at
  Pinterest
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Aditya Pal
Chantat Eksombatchai
Yitong Zhou
Bo Zhao
Charles R. Rosenberg
J. Leskovec
46
136
0
07 Jul 2020
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N
  Recommenders that Use Images to Address Cold Start
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
Zhuoran Liu
Martha Larson
DiffM
49
27
0
02 Jun 2020
Influence Function based Data Poisoning Attacks to Top-N Recommender
  Systems
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
Minghong Fang
Neil Zhenqiang Gong
Jia-Wei Liu
TDI
68
155
0
19 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
369
18,778
0
13 Feb 2020
Data Poisoning Attacks on Neighborhood-based Recommender Systems
Data Poisoning Attacks on Neighborhood-based Recommender Systems
Liang Chen
Yangjun Xu
Fenfang Xie
Min Huang
Zibin Zheng
AAML
42
34
0
01 Dec 2019
Feature Denoising for Improving Adversarial Robustness
Feature Denoising for Improving Adversarial Robustness
Cihang Xie
Yuxin Wu
Laurens van der Maaten
Alan Yuille
Kaiming He
110
909
0
09 Dec 2018
Poisoning Attacks to Graph-Based Recommender Systems
Poisoning Attacks to Graph-Based Recommender Systems
Minghong Fang
Guolei Yang
Neil Zhenqiang Gong
Jia-Wei Liu
AAML
69
204
0
11 Sep 2018
Adversarial Personalized Ranking for Recommendation
Adversarial Personalized Ranking for Recommendation
Xiangnan He
Zhankui He
Xiaoyu Du
Tat-Seng Chua
85
397
0
12 Aug 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
322
10,302
0
10 Jul 2018
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILMAAML
94
1,622
0
19 Dec 2017
Visually-Aware Fashion Recommendation and Design with Generative Image
  Models
Visually-Aware Fashion Recommendation and Design with Generative Image Models
Wang-Cheng Kang
Chen Fang
Zhaowen Wang
Julian McAuley
54
251
0
07 Nov 2017
Mitigating Adversarial Effects Through Randomization
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
113
1,059
0
06 Nov 2017
Detecting Adversarial Image Examples in Deep Networks with Adaptive
  Noise Reduction
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang
Hongcheng Li
Miaoqiang Su
Xirong Li
Wenchang Shi
Xiaofeng Wang
AAML
86
217
0
23 May 2017
Visual Discovery at Pinterest
Visual Discovery at Pinterest
Andrew Zhai
Dmitry Kislyuk
Yushi Jing
Michael Feng
Eric Tzeng
Jeff Donahue
Yue Li Du
Trevor Darrell
37
82
0
15 Feb 2017
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Bo Li
Yining Wang
Aarti Singh
Yevgeniy Vorobeychik
AAML
77
345
0
29 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
266
8,555
0
16 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILMAAML
543
5,897
0
08 Jul 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
237
10,249
0
27 Mar 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with
  One-Class Collaborative Filtering
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He
Julian McAuley
154
2,061
0
04 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Ruining He
Julian McAuley
BDL
96
905
0
06 Oct 2015
Image-based Recommendations on Styles and Substitutes
Image-based Recommendations on Styles and Substitutes
Julian McAuley
C. Targett
Javen Qinfeng Shi
Anton Van Den Hengel
124
2,406
0
15 Jun 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
277
19,066
0
20 Dec 2014
BPR: Bayesian Personalized Ranking from Implicit Feedback
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
152
5,731
0
09 May 2012
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