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Shield: Fast, Practical Defense and Vaccination for Deep Learning using
  JPEG Compression

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

19 February 2018
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Siwei Li
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
    FedML
    AAML
ArXivPDFHTML

Papers citing "Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression"

14 / 14 papers shown
Title
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Y. Zhang
Yingzhe Xu
Junyu Shi
L. Zhang
Shengshan Hu
Minghui Li
Yanjun Zhang
AAML
40
1
0
17 Mar 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
Jin Li
Ziqiang He
Anwei Luo
Jian-Fang Hu
Zhong Wang
Xiangui Kang
DiffM
61
0
0
12 Mar 2025
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection
Jialin Lu
Junjie Shan
Ziqi Zhao
Ka-Ho Chow
AAML
51
0
0
09 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Songping Wang
Xinquan Yue
Yueming Lyu
Caifeng Shan
AAML
66
1
0
08 Mar 2025
A Survey of Neural Network Robustness Assessment in Image Recognition
A Survey of Neural Network Robustness Assessment in Image Recognition
Jie Wang
Jun Ai
Minyan Lu
Haoran Su
Dan Yu
Yutao Zhang
Junda Zhu
Jingyu Liu
AAML
23
3
0
12 Apr 2024
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Qilong Zhang
Chaoning Zhang
Chaoning Zhang
Chaoqun Li
Xuanhan Wang
Jingkuan Song
Lianli Gao
AAML
15
21
0
09 Mar 2022
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
S. Zafeiriou
11
118
0
07 Jul 2021
NetFense: Adversarial Defenses against Privacy Attacks on Neural
  Networks for Graph Data
NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data
I-Chung Hsieh
Cheng-Te Li
AAML
15
23
0
22 Jun 2021
Impact of Spatial Frequency Based Constraints on Adversarial Robustness
Impact of Spatial Frequency Based Constraints on Adversarial Robustness
Rémi Bernhard
Pierre-Alain Moëllic
Martial Mermillod
Yannick Bourrier
Romain Cohendet
M. Solinas
M. Reyboz
AAML
8
16
0
26 Apr 2021
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
Yuzhen Ding
Nupur Thakur
Baoxin Li
AAML
11
3
0
20 Jul 2020
Real-Time Detectors for Digital and Physical Adversarial Inputs to
  Perception Systems
Real-Time Detectors for Digital and Physical Adversarial Inputs to Perception Systems
Y. Kantaros
Taylor J. Carpenter
Kaustubh Sridhar
Yahan Yang
Insup Lee
James Weimer
AAML
4
12
0
23 Feb 2020
Robustification of deep net classifiers by key based diversified
  aggregation with pre-filtering
Robustification of deep net classifiers by key based diversified aggregation with pre-filtering
O. Taran
Shideh Rezaeifar
T. Holotyak
S. Voloshynovskiy
AAML
14
1
0
14 May 2019
Object Recognition under Multifarious Conditions: A Reliability Analysis
  and A Feature Similarity-based Performance Estimation
Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation
Dogancan Temel
Jinsol Lee
G. Al-Regib
21
12
0
18 Feb 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
1