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HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor
  Attacks for Data Collection Scenarios

HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios

14 December 2020
Hassan Ali
Surya Nepal
S. Kanhere
S. Jha
    AAML
ArXiv (abs)PDFHTML

Papers citing "HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios"

4 / 4 papers shown
Adversarially Guided Stateful Defense Against Backdoor Attacks in
  Federated Deep Learning
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep LearningAsia-Pacific Computer Systems Architecture Conference (ACSA), 2024
Hassan Ali
Surya Nepal
S. Kanhere
S. Jha
AAMLFedML
241
4
0
15 Oct 2024
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
Gradient Shaping: Enhancing Backdoor Attack Against Reverse EngineeringNetwork and Distributed System Security Symposium (NDSS), 2023
Rui Zhu
Di Tang
Siyuan Tang
Guanhong Tao
Shiqing Ma
Luyi Xing
Haixu Tang
DD
322
7
0
29 Jan 2023
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR)
  for Metaverses
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for MetaversesACM Computing Surveys (ACM CSUR), 2022
Adnan Qayyum
M. A. Butt
Hassan Ali
Muhammad Usman
O. Halabi
Ala I. Al-Fuqaha
Q. Abbasi
Muhammad Ali Imran
Junaid Qadir
295
66
0
24 Oct 2022
Accumulative Poisoning Attacks on Real-time Data
Accumulative Poisoning Attacks on Real-time DataNeural Information Processing Systems (NeurIPS), 2021
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
266
22
0
18 Jun 2021
1
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