ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.01101
  4. Cited By
Adversarial Examples for Semantic Image Segmentation

Adversarial Examples for Semantic Image Segmentation

3 March 2017
Volker Fischer
Mummadi Chaithanya Kumar
J. H. Metzen
Thomas Brox
    SSeg
    GAN
    AAML
ArXivPDFHTML

Papers citing "Adversarial Examples for Semantic Image Segmentation"

22 / 22 papers shown
Title
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
65
5
0
02 May 2024
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
L. Halmosi
Márk Jelasity
AAML
VLM
39
1
0
25 Jun 2023
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR)
  for Metaverses
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Adnan Qayyum
M. A. Butt
Hassan Ali
Muhammad Usman
O. Halabi
Ala I. Al-Fuqaha
Q. Abbasi
Muhammad Ali Imran
Junaid Qadir
30
32
0
24 Oct 2022
A Human-in-the-Middle Attack against Object Detection Systems
A Human-in-the-Middle Attack against Object Detection Systems
Han-Ching Wu
Sareh Rowlands
Johan Wahlstrom
AAML
31
0
0
15 Aug 2022
Smoothed Embeddings for Certified Few-Shot Learning
Smoothed Embeddings for Certified Few-Shot Learning
Mikhail Aleksandrovich Pautov
Olesya Kuznetsova
Nurislam Tursynbek
Aleksandr Petiushko
Ivan Oseledets
47
5
0
02 Feb 2022
M2GAN: A Multi-Stage Self-Attention Network for Image Rain Removal on
  Autonomous Vehicles
M2GAN: A Multi-Stage Self-Attention Network for Image Rain Removal on Autonomous Vehicles
Duc Manh Nguyen
Sang-Woong Lee
GAN
27
1
0
12 Oct 2021
3DB: A Framework for Debugging Computer Vision Models
3DB: A Framework for Debugging Computer Vision Models
Guillaume Leclerc
Hadi Salman
Andrew Ilyas
Sai H. Vemprala
Logan Engstrom
...
Pengchuan Zhang
Shibani Santurkar
Greg Yang
Ashish Kapoor
A. Madry
40
40
0
07 Jun 2021
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction
Pu Sun
Yuezun Li
H. Qi
Siwei Lyu
15
17
0
01 Feb 2021
Adversarial Machine Learning in Image Classification: A Survey Towards
  the Defender's Perspective
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
33
157
0
08 Sep 2020
A Le Cam Type Bound for Adversarial Learning and Applications
A Le Cam Type Bound for Adversarial Learning and Applications
Qiuling Xu
Kevin Bello
Jean Honorio
AAML
23
1
0
01 Jul 2020
Provably robust deep generative models
Provably robust deep generative models
Filipe Condessa
Zico Kolter
AAML
OOD
11
5
0
22 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
Segmentations-Leak: Membership Inference Attacks and Defenses in
  Semantic Image Segmentation
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
Yang He
Shadi Rahimian
Bernt Schiele
Mario Fritz
MIACV
21
49
0
20 Dec 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
21
104
0
13 Nov 2019
Role of Spatial Context in Adversarial Robustness for Object Detection
Role of Spatial Context in Adversarial Robustness for Object Detection
Aniruddha Saha
Akshayvarun Subramanya
Koninika Patil
Hamed Pirsiavash
ObjD
AAML
32
53
0
30 Sep 2019
Adversarial Examples for Edge Detection: They Exist, and They Transfer
Adversarial Examples for Edge Detection: They Exist, and They Transfer
Christian Cosgrove
Alan Yuille
AAML
GAN
20
12
0
02 Jun 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
24
187
0
29 May 2019
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor
  Search
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search
Abhimanyu Dubey
Laurens van der Maaten
Zeki Yalniz
Yixuan Li
D. Mahajan
AAML
33
62
0
05 Mar 2019
Defending Against Universal Perturbations With Shared Adversarial
  Training
Defending Against Universal Perturbations With Shared Adversarial Training
Chaithanya Kumar Mummadi
Thomas Brox
J. H. Metzen
AAML
18
60
0
10 Dec 2018
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural
  Computer
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
Alvin Chan
Lei Ma
Felix Juefei Xu
Xiaofei Xie
Yang Liu
Yew-Soon Ong
OOD
AAML
19
17
0
07 Sep 2018
Universal Adversarial Perturbations Against Semantic Image Segmentation
Universal Adversarial Perturbations Against Semantic Image Segmentation
J. H. Metzen
Mummadi Chaithanya Kumar
Thomas Brox
Volker Fischer
AAML
30
287
0
19 Apr 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
1