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. 2003.10315
  4. Cited By
Adversarial Attacks on Monocular Depth Estimation

Adversarial Attacks on Monocular Depth Estimation

23 March 2020
Ziqi Zhang
Xinge Zhu
Yingwei Li
Xiangqun Chen
Yao Guo
    AAML
    MDE
ArXivPDFHTML

Papers citing "Adversarial Attacks on Monocular Depth Estimation"

5 / 5 papers shown
Title
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption
  of Monocular Depth Estimation in Autonomous Navigation Applications
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications
Amira Guesmi
Muhammad Abdullah Hanif
Ihsen Alouani
B. Ouni
Muhammad Shafique
AAML
MDE
31
5
0
18 Mar 2024
Adversarial Amendment is the Only Force Capable of Transforming an Enemy
  into a Friend
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
Chong Yu
Tao Chen
Zhongxue Gan
AAML
15
1
0
18 May 2023
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
194
1,708
0
06 Jun 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
1