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Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation
  Of Adversarial Attacks In Geospatial Systems

Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems

12 December 2023
Michael Lanier
Aayush Dhakal
Zhexiao Xiong
Arthur Li
Nathan Jacobs
Yevgeniy Vorobeychik
ArXivPDFHTML

Papers citing "Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems"

3 / 3 papers shown
Title
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural
  Networks via Image Quantization and Contrastive Adversarial Learning
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
Zhenting Wang
Juan Zhai
Shiqing Ma
AAML
136
97
0
26 May 2022
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
Nicholas Carlini
AAML
166
68
0
04 May 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through
  Neural Payload Injection
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection
Yan Liang
Jiayi Hua
Haoyu Wang
Chunyang Chen
Yunxin Liu
FedML
SILM
86
75
0
18 Jan 2021
1