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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?"
14 / 14 papers shown
Title
Data Poisoning in Deep Learning: A Survey
Pinlong Zhao
Weiyao Zhu
Pengfei Jiao
Di Gao
Ou Wu
AAML
157
1
0
27 Mar 2025
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models
Niccolò Turcato
Matteo Iovino
Aris Synodinos
Alberto Dalla Libera
R. Carli
Pietro Falco
LM&Ro
127
0
0
06 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data
Wentai Wu
Ligang He
Saiqin Long
Ahmed M. Abdelmoniem
Yingliang Wu
Rui Mao
126
0
0
05 Mar 2025
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity
Hao Jian Huang
Bekzod Iskandarov
Mizanur Rahman
FedML
141
1
0
15 Sep 2024
Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms
Francesco Villani
Dario Lazzaro
Antonio Emanuele Cinà
Matteo DellÁmico
Battista Biggio
Fabio Roli
94
1
0
14 Aug 2024
Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code
Cristina Improta
SILM
AAML
155
9
0
11 Mar 2024
Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks
Yang Zheng
Christian Scano
Antonio Emanuele Cinà
Xiaoyi Feng
Zhaoqiang Xia
Xiaoyue Jiang
Ambra Demontis
Battista Biggio
Fabio Roli
AAML
64
2
0
13 Sep 2023
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks
Domenico Cotroneo
Cristina Improta
Pietro Liguori
R. Natella
SILM
102
31
0
04 Aug 2023
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
80
7
0
01 Jul 2023
Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
Zijian Wang
Shuo Huang
Yu-Jen Huang
Helei Cui
SILM
45
11
0
06 May 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
104
2
0
09 Feb 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy
Yusuke Kawamoto
Kazumasa Miyake
K. Konishi
Y. Oiwa
72
4
0
18 Jan 2023
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
Antonio Emanuele Cinà
Kathrin Grosse
Ambra Demontis
Sebastiano Vascon
Werner Zellinger
Bernhard A. Moser
Alina Oprea
Battista Biggio
Marcello Pelillo
Fabio Roli
AAML
107
127
0
04 May 2022
Energy-Latency Attacks via Sponge Poisoning
Antonio Emanuele Cinà
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
SILM
175
32
0
14 Mar 2022
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