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Google's Cloud Vision API Is Not Robust To Noise

Google's Cloud Vision API Is Not Robust To Noise

16 April 2017
Hossein Hosseini
Baicen Xiao
Radha Poovendran
    AAML
ArXivPDFHTML

Papers citing "Google's Cloud Vision API Is Not Robust To Noise"

26 / 26 papers shown
Title
Probabilistic Verification of Neural Networks using Branch and Bound
Probabilistic Verification of Neural Networks using Branch and Bound
David Boetius
Stefan Leue
Tobias Sutter
45
1
0
27 May 2024
Residual Feature Pyramid Network for Enhancement of Vascular Patterns
Residual Feature Pyramid Network for Enhancement of Vascular Patterns
Ketan Kotwal
S´ebastien Marcel
27
4
0
29 Jun 2023
Deep Learning Architectures for FSCV, a Comparison
Deep Learning Architectures for FSCV, a Comparison
Thomas Twomey
Leonardo S. Barbosa
T. Lohrenz
P. R. Montague
21
1
0
05 Dec 2022
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API
  Predictions
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Lingjiao Chen
Zhihua Jin
Sabri Eyuboglu
Christopher Ré
Matei A. Zaharia
James Zou
56
9
0
18 Sep 2022
Augraphy: A Data Augmentation Library for Document Images
Augraphy: A Data Augmentation Library for Document Images
Alexander Groleau
Kok Wei Chee
Stefan Larson
Samay Maini
Jonathan Boarman
43
10
0
30 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier
  Guidance
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar
Roy Ganz
Michael Elad
DiffM
29
38
0
18 Aug 2022
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor
  Perturbation
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation
Wei Dai
Daniel Berleant
VLM
AAML
27
8
0
02 Mar 2022
Inverse Problems Leveraging Pre-trained Contrastive Representations
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula
Georgios Smyrnis
Matt Jordan
A. Dimakis
SSL
45
9
0
14 Oct 2021
Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection
Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection
S. R. Galeano
45
18
0
13 Jul 2021
A Structured Analysis of the Video Degradation Effects on the
  Performance of a Machine Learning-enabled Pedestrian Detector
A Structured Analysis of the Video Degradation Effects on the Performance of a Machine Learning-enabled Pedestrian Detector
C. Berger
16
1
0
30 Jun 2021
Multi-Modal Image Captioning for the Visually Impaired
Multi-Modal Image Captioning for the Visually Impaired
Hiba Ahsan
Nikita Bhalla
Daivat Bhatt
Kaivankumar Shah
25
20
0
17 May 2021
Efficient Online ML API Selection for Multi-Label Classification Tasks
Efficient Online ML API Selection for Multi-Label Classification Tasks
Lingjiao Chen
Matei A. Zaharia
James Zou
45
17
0
18 Feb 2021
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks
  using Data Augmentation
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
Han Qiu
Yi Zeng
Shangwei Guo
Tianwei Zhang
Meikang Qiu
B. Thuraisingham
AAML
24
191
0
13 Dec 2020
Truly shift-invariant convolutional neural networks
Truly shift-invariant convolutional neural networks
Anadi Chaman
Ivan Dokmanić
23
68
0
28 Nov 2020
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
13
154
0
16 Jul 2020
Beware the evolving íntelligent' web service! An integration
  architecture tactic to guard AI-first components
Beware the evolving íntelligent' web service! An integration architecture tactic to guard AI-first components
Alex Cummaudo
Scott Barnett
Rajesh Vasa
J. Grundy
Mohamed Abdelrazek
48
12
0
27 May 2020
Towards Robust Classification with Image Quality Assessment
Towards Robust Classification with Image Quality Assessment
Yeli Feng
Yiyu Cai
19
0
0
14 Apr 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement
  Learning
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
Chenglin Yang
Adam Kortylewski
Cihang Xie
Yinzhi Cao
Alan Yuille
AAML
45
109
0
12 Apr 2020
Advbox: a toolbox to generate adversarial examples that fool neural
  networks
Advbox: a toolbox to generate adversarial examples that fool neural networks
Dou Goodman
Xin Hao
Yang Wang
Yuesheng Wu
Junfeng Xiong
Huan Zhang
AAML
15
53
0
13 Jan 2020
Losing Confidence in Quality: Unspoken Evolution of Computer Vision
  Services
Losing Confidence in Quality: Unspoken Evolution of Computer Vision Services
Alex Cummaudo
Rajesh Vasa
J. Grundy
Mohamed Abdelrazek
A. Cain
29
19
0
18 Jun 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the
  Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer
  Domain
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
37
18
0
19 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
29
12
0
18 Feb 2019
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical
  Study
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study
Xurong Li
S. Ji
Men Han
Juntao Ji
Zhenyu Ren
Yushan Liu
Chunming Wu
AAML
26
31
0
04 Jan 2019
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic
  Approach
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach
Tsui-Wei Weng
Pin-Yu Chen
Lam M. Nguyen
M. Squillante
Ivan Oseledets
Luca Daniel
AAML
29
30
0
18 Dec 2018
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
Dogancan Temel
Jinsol Lee
G. Al-Regib
24
42
0
18 Oct 2018
Large Margin Deep Networks for Classification
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
22
281
0
15 Mar 2018
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