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. 2404.12120
  4. Cited By
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors

Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors

18 April 2024
Raz Lapid
Almog Dubin
Moshe Sipper
    AAML
ArXivPDFHTML

Papers citing "Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors"

4 / 4 papers shown
Title
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
Roie Kazoom
Raz Lapid
Moshe Sipper
Ofer Hadar
VLM
ObjD
AAML
57
0
0
07 Apr 2025
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
Tal Alter
Raz Lapid
Moshe Sipper
AAML
62
6
0
25 Aug 2024
What You See is Not What the Network Infers: Detecting Adversarial
  Examples Based on Semantic Contradiction
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction
Yijun Yang
Ruiyuan Gao
Yu Li
Qiuxia Lai
Qiang Xu
GAN
AAML
31
20
0
24 Jan 2022
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
293
3,110
0
04 Nov 2016
1