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. 1806.10707
  4. Cited By
Gradient Similarity: An Explainable Approach to Detect Adversarial
  Attacks against Deep Learning

Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning

27 June 2018
J. Dhaliwal
S. Shintre
    AAML
ArXivPDFHTML

Papers citing "Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning"

4 / 4 papers shown
Title
Data Shapley in One Training Run
Data Shapley in One Training Run
Jiachen T. Wang
Prateek Mittal
Dawn Song
Ruoxi Jia
TDI
36
7
0
16 Jun 2024
StratDef: Strategic Defense Against Adversarial Attacks in ML-based
  Malware Detection
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection
Aqib Rashid
Jose Such
AAML
16
5
0
15 Feb 2022
Developing Future Human-Centered Smart Cities: Critical Analysis of
  Smart City Security, Interpretability, and Ethical Challenges
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
27
142
0
14 Dec 2020
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