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Adversarial Attacks and Defences: A Survey

Adversarial Attacks and Defences: A Survey

28 September 2018
Anirban Chakraborty
Manaar Alam
Vishal Dey
Anupam Chattopadhyay
Debdeep Mukhopadhyay
    AAMLOOD
ArXiv (abs)PDFHTML

Papers citing "Adversarial Attacks and Defences: A Survey"

30 / 330 papers shown
Title
Learning to fool the speaker recognition
Learning to fool the speaker recognition
Jiguo Li
Xinfeng Zhang
Jizheng Xu
Li Zhang
Y. Wang
Siwei Ma
Wen Gao
AAML
49
21
0
07 Apr 2020
Code Prediction by Feeding Trees to Transformers
Code Prediction by Feeding Trees to Transformers
Seohyun Kim
Jinman Zhao
Yuchi Tian
S. Chandra
129
220
0
30 Mar 2020
Improved Gradient based Adversarial Attacks for Quantized Networks
Improved Gradient based Adversarial Attacks for Quantized Networks
Kartik Gupta
Thalaiyasingam Ajanthan
MQ
51
19
0
30 Mar 2020
Adversarial Transferability in Wearable Sensor Systems
Adversarial Transferability in Wearable Sensor Systems
Ramesh Kumar Sah
H. Ghasemzadeh
AAML
33
6
0
17 Mar 2020
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical
  Systems
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
Jiangnan Li
Yingyuan Yang
Jinyuan Stella Sun
K. Tomsovic
Jin Young Lee
AAML
117
55
0
12 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving
  Systems
Deep Neural Network Perception Models and Robust Autonomous Driving Systems
M. Shafiee
Ahmadreza Jeddi
Amir Nazemi
Paul Fieguth
A. Wong
OOD
53
16
0
04 Mar 2020
Understanding the Intrinsic Robustness of Image Distributions using
  Conditional Generative Models
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
Xiao Zhang
Jinghui Chen
Quanquan Gu
David Evans
68
17
0
01 Mar 2020
Causal Strategic Linear Regression
Causal Strategic Linear Regression
Yonadav Shavit
Benjamin L. Edelman
Brian Axelrod
100
82
0
24 Feb 2020
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
Victor Akinwande
C. Cintas
Skyler Speakman
Srihari Sridharan
AAML
73
17
0
13 Feb 2020
AI safety: state of the field through quantitative lens
AI safety: state of the field through quantitative lens
Mislav Juric
A. Sandic
Mario Brčič
93
24
0
12 Feb 2020
Fine-grained Uncertainty Modeling in Neural Networks
Fine-grained Uncertainty Modeling in Neural Networks
Rahul Soni
Naresh Shah
J. D. Moore
UQCV
24
5
0
11 Feb 2020
Security and Privacy in IoT Using Machine Learning and Blockchain:
  Threats & Countermeasures
Security and Privacy in IoT Using Machine Learning and Blockchain: Threats & Countermeasures
Nazar Waheed
Xiangjian He
Muhammad Ikram
Muhammad Usman
Saad Sajid Hashmi
Muhammad Usman
78
6
0
10 Feb 2020
Quantum Adversarial Machine Learning
Quantum Adversarial Machine Learning
Sirui Lu
L. Duan
D. Deng
AAML
108
102
0
31 Dec 2019
From Shallow to Deep Interactions Between Knowledge Representation,
  Reasoning and Machine Learning (Kay R. Amel group)
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui
Antoine Cornuéjols
Thierry Denoeux
Sebastien Destercke
Didier Dubois
...
Jérôme Mengin
H. Prade
Steven Schockaert
M. Serrurier
Christel Vrain
128
14
0
13 Dec 2019
Defensive Few-shot Learning
Defensive Few-shot Learning
Wenbin Li
Lei Wang
Xingxing Zhang
Lei Qi
Jing Huo
Yang Gao
Jiebo Luo
83
7
0
16 Nov 2019
DLA: Dense-Layer-Analysis for Adversarial Example Detection
DLA: Dense-Layer-Analysis for Adversarial Example Detection
Philip Sperl
Ching-yu Kao
Peng Chen
Konstantin Böttinger
AAML
53
34
0
05 Nov 2019
Adversarial Example in Remote Sensing Image Recognition
Adversarial Example in Remote Sensing Image Recognition
Li Chen
Guowei Zhu
Qi Li
Haifeng Li
AAML
53
27
0
29 Oct 2019
Adversarial Learning of Deepfakes in Accounting
Adversarial Learning of Deepfakes in Accounting
Marco Schreyer
Timur Sattarov
Bernd Reimer
Damian Borth
AAML
58
26
0
09 Oct 2019
Key Protected Classification for Collaborative Learning
Key Protected Classification for Collaborative Learning
Mert Bulent Sariyildiz
R. G. Cinbis
Erman Ayday
49
10
0
27 Aug 2019
Towards Logical Specification of Statistical Machine Learning
Towards Logical Specification of Statistical Machine Learning
Yusuke Kawamoto
CML
38
7
0
24 Jul 2019
Adversarial Security Attacks and Perturbations on Machine Learning and
  Deep Learning Methods
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods
Arif Siddiqi
AAML
59
11
0
17 Jul 2019
Strategies to architect AI Safety: Defense to guard AI from Adversaries
Strategies to architect AI Safety: Defense to guard AI from Adversaries
R. A
N. V
AAML
27
0
0
08 Jun 2019
Adversarial Explanations for Understanding Image Classification
  Decisions and Improved Neural Network Robustness
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness
Walt Woods
Jack H Chen
C. Teuscher
AAML
66
46
0
07 Jun 2019
A Review of Deep Learning with Special Emphasis on Architectures,
  Applications and Recent Trends
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta
Sanchita Basak
P. Saikia
Sayak Paul
Vasilios Tsalavoutis
Frederick Ditliac Atiah
V. Ravi
R. Peters
AI4CE
151
344
0
30 May 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
89
191
0
29 May 2019
A Topology Layer for Machine Learning
A Topology Layer for Machine Learning
Rickard Brüel-Gabrielsson
Bradley J. Nelson
Anjan Dwaraknath
Primoz Skraba
Leonidas Guibas
Gunnar Carlsson
AI4CE
82
133
0
29 May 2019
High Frequency Component Helps Explain the Generalization of
  Convolutional Neural Networks
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Haohan Wang
Xindi Wu
Pengcheng Yin
Eric Xing
77
525
0
28 May 2019
Manipulating a Learning Defender and Ways to Counteract
Manipulating a Learning Defender and Ways to Counteract
Jiarui Gan
Qingyu Guo
Long Tran-Thanh
Bo An
Michael Wooldridge
AAML
60
20
0
28 May 2019
Weight Map Layer for Noise and Adversarial Attack Robustness
Weight Map Layer for Noise and Adversarial Attack Robustness
Mohammed Amer
Tomás Maul
90
4
0
02 May 2019
Adversarial attacks hidden in plain sight
Adversarial attacks hidden in plain sight
Jan Philip Göpfert
André Artelt
H. Wersing
Barbara Hammer
AAML
46
17
0
25 Feb 2019
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