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. 2306.15363
  4. Cited By
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial
  Transferability

Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability

27 June 2023
Marco Alecci
Mauro Conti
Francesco Marchiori
L. Martinelli
Luca Pajola
    AAML
ArXivPDFHTML

Papers citing "Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability"

4 / 4 papers shown
Title
CANEDERLI: On The Impact of Adversarial Training and Transferability on
  CAN Intrusion Detection Systems
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
Francesco Marchiori
Mauro Conti
AAML
24
0
0
06 Apr 2024
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
57
3
0
20 Nov 2023
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
275
5,833
0
08 Jul 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,247
0
09 Jun 2011
1