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2202.10276
Cited By
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey
21 February 2022
M. A. Ramírez
Song-Kyoo Kim
H. A. Hamadi
Ernesto Damiani
Young-Ji Byon
Tae-Yeon Kim
C. Cho
C. Yeun
AAML
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Papers citing
"Poisoning Attacks and Defenses on Artificial Intelligence: A Survey"
15 / 15 papers shown
Title
GreenFactory: Ensembling Zero-Cost Proxies to Estimate Performance of Neural Networks
Gabriel Cortes
Nuno Lourenço
Paolo Romano
Penousal Machado
UQCV
FedML
32
0
0
14 May 2025
Agents
Under
Siege
\textit{Agents Under Siege}
Agents Under Siege
: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks
Rana Muhammad Shahroz Khan
Zhen Tan
Sukwon Yun
Charles Flemming
Tianlong Chen
AAML
LLMAG
Presented at
ResearchTrend Connect | LLMAG
on
23 Apr 2025
96
3
0
31 Mar 2025
Data Poisoning in Deep Learning: A Survey
Pinlong Zhao
Weiyao Zhu
Pengfei Jiao
Di Gao
Ou Wu
AAML
39
0
0
27 Mar 2025
GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
Gabriel Cortes
Nuno Lourenço
Penousal Machado
66
1
0
22 Nov 2024
Poser: Unmasking Alignment Faking LLMs by Manipulating Their Internals
Joshua Clymer
Caden Juang
Severin Field
CVBM
32
1
0
08 May 2024
A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models
Aysan Esmradi
Daniel Wankit Yip
C. Chan
AAML
32
11
0
18 Dec 2023
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems
Mathew J. Walter
Aaron Barrett
Kimberly Tam
22
5
0
08 Dec 2023
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
60
3
0
20 Nov 2023
Hiding Backdoors within Event Sequence Data via Poisoning Attacks
Elizaveta Kovtun
A. Ermilova
Dmitry Berestnev
Alexey Zaytsev
SILM
AAML
22
1
0
20 Aug 2023
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples
Wanzhu Jiang
Yunfeng Diao
He-Nan Wang
Jianxin Sun
M. Wang
Richang Hong
37
18
0
16 May 2023
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling
Ethan Wisdom
Tejas Gokhale
Chaowei Xiao
Yezhou Yang
18
0
0
30 Mar 2023
New data poison attacks on machine learning classifiers for mobile exfiltration
M. A. Ramírez
Sangyoung Yoon
Ernesto Damiani
H. A. Hamadi
C. Ardagna
Nicola Bena
Young-Ji Byon
Tae-Yeon Kim
C. Cho
C. Yeun
AAML
17
4
0
20 Oct 2022
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
17
71
0
04 Jul 2021
DeepPoison: Feature Transfer Based Stealthy Poisoning Attack
Jinyin Chen
Longyuan Zhang
Haibin Zheng
Xueke Wang
Zhaoyan Ming
AAML
27
19
0
06 Jan 2021
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
179
1,032
0
29 Nov 2018
1