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Adversarial Self-Supervised Contrastive Learning

Adversarial Self-Supervised Contrastive Learning

13 June 2020
Minseon Kim
Jihoon Tack
Sung Ju Hwang
    SSL
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Papers citing "Adversarial Self-Supervised Contrastive Learning"

40 / 40 papers shown
Title
Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines
Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines
Faiza Hassan
Summra Saleem
Kashif Javed
Muhammad Nabeel Asim
A. Rehman
Andreas Dengel
33
0
0
08 May 2025
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Yudong Zhang
Ruobing Xie
Jiansheng Chen
Xingchen Sun
Zhanhui Kang
Yu Wang
88
0
0
21 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval
Adversarial Hubness in Multi-Modal Retrieval
Tingwei Zhang
Fnu Suya
Rishi Jha
Collin Zhang
Vitaly Shmatikov
AAML
83
1
0
18 Dec 2024
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial
  Contrastive Prompt Tuning
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning
Xin Wang
Kai-xiang Chen
Xingjun Ma
Zhineng Chen
Jingjing Chen
Yu-Gang Jiang
AAML
40
3
0
04 Aug 2024
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR
  Image Classification
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification
Xu Wang
Tian Ye
Rajgopal Kannan
Viktor Prasanna
AAML
35
1
0
04 Apr 2024
Towards Deviation-Robust Agent Navigation via Perturbation-Aware
  Contrastive Learning
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning
Bingqian Lin
Yanxin Long
Yi Zhu
Fengda Zhu
Xiaodan Liang
QiXiang Ye
Liang Lin
31
5
0
09 Mar 2024
Efficient Availability Attacks against Supervised and Contrastive
  Learning Simultaneously
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
Yihan Wang
Yifan Zhu
Xiao-Shan Gao
AAML
25
6
0
06 Feb 2024
Transferable Availability Poisoning Attacks
Transferable Availability Poisoning Attacks
Yiyong Liu
Michael Backes
Xiao Zhang
AAML
19
3
0
08 Oct 2023
Adversarial Illusions in Multi-Modal Embeddings
Adversarial Illusions in Multi-Modal Embeddings
Tingwei Zhang
Rishi Jha
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
34
8
0
22 Aug 2023
AdPE: Adversarial Positional Embeddings for Pretraining Vision
  Transformers via MAE+
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+
Tianlin Li
Ying Wang
Ziwei Xuan
Guo-Jun Qi
ViT
42
3
0
14 Mar 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive
  Learning
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
24
9
0
31 Jan 2023
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust
  Encoder as a Service
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service
Wenjie Qu
Jinyuan Jia
Neil Zhenqiang Gong
SILM
AAML
31
4
0
07 Jan 2023
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models
Chengzhi Mao
Scott Geng
Junfeng Yang
Xin Eric Wang
Carl Vondrick
VLM
42
59
0
14 Dec 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
Guo-Jun Qi
M. Shah
SSL
23
8
0
23 Oct 2022
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Minseon Kim
Hyeonjeong Ha
Sooel Son
Sung Ju Hwang
AAML
39
3
0
19 Oct 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder
  for Dermatological Disease Diagnosis
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
20
7
0
24 Aug 2022
Contrastive Self-Supervised Learning Leads to Higher Adversarial
  Susceptibility
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility
Rohit Gupta
Naveed Akhtar
Ajmal Saeed Mian
M. Shah
AAML
SSL
26
5
0
22 Jul 2022
Adversarial Contrastive Learning via Asymmetric InfoNCE
Adversarial Contrastive Learning via Asymmetric InfoNCE
Qiying Yu
Jieming Lou
Xianyuan Zhan
Qizhang Li
W. Zuo
Yang Liu
Jingjing Liu
AAML
30
23
0
18 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing
Yijiang Pang
Boyang Liu
Jiayu Zhou
OOD
AAML
19
1
0
11 Jul 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
41
296
0
19 Jun 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution
  Detection
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection
Umar Khalid
Ashkan Esmaeili
Nazmul Karim
Nazanin Rahnavard
OODD
39
12
0
06 Apr 2022
Robustness through Cognitive Dissociation Mitigation in Contrastive
  Adversarial Training
Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training
Adir Rahamim
I. Naeh
AAML
22
1
0
16 Mar 2022
Non-generative Generalized Zero-shot Learning via Task-correlated
  Disentanglement and Controllable Samples Synthesis
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis
Yaogong Feng
Xiaowen Huang
Pengbo Yang
Jian Yu
Jitao Sang
DiffM
24
29
0
10 Mar 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Hao He
Kaiwen Zha
Dina Katabi
AAML
34
32
0
22 Feb 2022
Federated Contrastive Learning for Dermatological Disease Diagnosis via
  On-device Learning
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
FedML
22
31
0
14 Feb 2022
Improving Transferability of Representations via Augmentation-Aware
  Self-Supervision
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee
Kibok Lee
Kimin Lee
Honglak Lee
Jinwoo Shin
SSL
21
51
0
18 Nov 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated
  Channel Maps
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Jiawei Li
Sung-Ho Bae
Zhenguo Li
AAML
40
17
0
09 Nov 2021
Robust Contrastive Learning Using Negative Samples with Diminished
  Semantics
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge
Shlok Kumar Mishra
Haohan Wang
Chun-Liang Li
David Jacobs
SSL
24
71
0
27 Oct 2021
Contrastive Learning for Neural Topic Model
Contrastive Learning for Neural Topic Model
Thong Nguyen
A. Luu
26
56
0
25 Oct 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula
Georgios Smyrnis
Matt Jordan
A. Dimakis
SSL
29
9
0
14 Oct 2021
Jointly Attacking Graph Neural Network and its Explanations
Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan
Wei Jin
Xiaorui Liu
Han Xu
Xianfeng Tang
Suhang Wang
Qing Li
Jiliang Tang
Jianping Wang
Charu C. Aggarwal
AAML
42
28
0
07 Aug 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
29
63
0
29 Jul 2021
Can contrastive learning avoid shortcut solutions?
Can contrastive learning avoid shortcut solutions?
Joshua Robinson
Li Sun
Ke Yu
Kayhan Batmanghelich
Stefanie Jegelka
S. Sra
SSL
19
142
0
21 Jun 2021
Toward Understanding the Feature Learning Process of Self-supervised
  Contrastive Learning
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Zixin Wen
Yuanzhi Li
SSL
MLT
29
131
0
31 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
64
96
0
17 May 2021
Consistency Regularization for Adversarial Robustness
Consistency Regularization for Adversarial Robustness
Jihoon Tack
Sihyun Yu
Jongheon Jeong
Minseon Kim
Sung Ju Hwang
Jinwoo Shin
AAML
35
57
0
08 Mar 2021
Towards Robust Graph Contrastive Learning
Towards Robust Graph Contrastive Learning
Nikola Jovanović
Zhao Meng
Lukas Faber
Roger Wattenhofer
SSL
26
33
0
25 Feb 2021
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
28
64
0
14 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
35
628
0
02 Oct 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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