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Machine Learning Security against Data Poisoning: Are We There Yet?

Machine Learning Security against Data Poisoning: Are We There Yet?

12 April 2022
Antonio Emanuele Cinà
Kathrin Grosse
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
    AAML
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Papers citing "Machine Learning Security against Data Poisoning: Are We There Yet?"

3 / 3 papers shown
Title
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
Hao Jian Huang
Bekzod Iskandarov
Mizanur Rahman
FedML
42
1
0
15 Sep 2024
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware
  Training
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training
Dario Lazzaro
Antonio Emanuele Cinà
Maura Pintor
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
17
6
0
01 Jul 2023
Energy-Latency Attacks via Sponge Poisoning
Energy-Latency Attacks via Sponge Poisoning
Antonio Emanuele Cinà
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
SILM
37
27
0
14 Mar 2022
1