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Smart App Attack: Hacking Deep Learning Models in Android Apps

Smart App Attack: Hacking Deep Learning Models in Android Apps

IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
23 April 2022
Yujin Huang
Chunyang Chen
    FedMLAAML
ArXiv (abs)PDFHTMLGithub (15★)

Papers citing "Smart App Attack: Hacking Deep Learning Models in Android Apps"

13 / 13 papers shown
NeuroDeX: Unlocking Diverse Support in Decompiling Deep Neural Network Executables
NeuroDeX: Unlocking Diverse Support in Decompiling Deep Neural Network Executables
Yilin Li
Guozhu Meng
Mingyang Sun
Yanzhong Wang
Kun Sun
Hailong Chang
Yuekang Li
150
0
0
08 Sep 2025
THEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models
THEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models
Yujin Huang
Zhi Zhang
Qingchuan Zhao
Lizhen Qu
Chunyang Chen
205
2
0
31 Mar 2025
"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media ApplicationsInternational Conference on Human Factors in Computing Systems (CHI), 2025
Jack West
Bengisu Cagiltay
Shirley Zhang
Jingjie Li
Kassem Fawaz
Suman Banerjee
251
1
0
05 Mar 2025
Stealthy Backdoor Attack to Real-world Models in Android Apps
Jiali Wei
Ming Fan
Xicheng Zhang
Wenjing Jiao
Jian Shu
Ting Liu
AAML
251
1
0
03 Jan 2025
AuthNet: Neural Network with Integrated Authentication Logic
AuthNet: Neural Network with Integrated Authentication Logic
Yuling Cai
Fan Xiang
Guozhu Meng
Yinzhi Cao
Kai Chen
AAML
300
0
0
24 May 2024
A Picture is Worth 500 Labels: A Case Study of Demographic Disparities
  in Local Machine Learning Models for Instagram and TikTok
A Picture is Worth 500 Labels: A Case Study of Demographic Disparities in Local Machine Learning Models for Instagram and TikTok
Jack West
Lea Thiemt
Shimaa Ahmed
Maggie Bartig
Kassem Fawaz
Suman Banerjee
240
6
0
27 Mar 2024
Investigating White-Box Attacks for On-Device Models
Investigating White-Box Attacks for On-Device Models
M. Zhou
Yantao Du
Jing Wu
Kui Liu
Hailong Sun
Li Li
AAML
351
13
0
08 Feb 2024
Towards Real Smart Apps: Investigating Human-AI Interactions in
  Smartphone On-Device AI Apps
Towards Real Smart Apps: Investigating Human-AI Interactions in Smartphone On-Device AI Apps
Jason Ching Yuen Siu
Jieshan Chen
Yujin Huang
Zhenchang Xing
Chunyang Chen
179
2
0
03 Jul 2023
ModelObfuscator: Obfuscating Model Information to Protect Deployed
  ML-based Systems
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based SystemsInternational Symposium on Software Testing and Analysis (ISSTA), 2023
Mingyi Zhou
Yantao Du
Jing Wu
John C. Grundy
Xiao Chen
Chunyang Chen
Li Li
AAML
413
17
0
01 Jun 2023
Beyond the Model: Data Pre-processing Attack to Deep Learning Models in
  Android Apps
Beyond the Model: Data Pre-processing Attack to Deep Learning Models in Android Apps
Ye Sang
Yujin Huang
Shuo Huang
Helei Cui
AAMLSILM
175
5
0
06 May 2023
Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
Zijian Wang
Shuo Huang
Yu-Jen Huang
Helei Cui
SILM
190
13
0
06 May 2023
AI-driven Mobile Apps: an Explorative Study
AI-driven Mobile Apps: an Explorative StudyJournal of Systems and Software (JSS), 2022
Yinghua Li
Xueqi Dang
Haoye Tian
Tiezhu Sun
Zhijie Wang
Lei Ma
Jacques Klein
Tegawende F. Bissyande
139
6
0
03 Dec 2022
Adversarial Patterns: Building Robust Android Malware Classifiers
Adversarial Patterns: Building Robust Android Malware ClassifiersACM Computing Surveys (ACM CSUR), 2022
Dipkamal Bhusal
Nidhi Rastogi
AAML
328
5
0
04 Mar 2022
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