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Robustness of on-device Models: Adversarial Attack to Deep Learning
  Models on Android Apps
v1v2 (latest)

Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps

12 January 2021
Yujin Huang
Han Hu
Chunyang Chen
    AAMLFedML
ArXiv (abs)PDFHTML

Papers citing "Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps"

22 / 22 papers shown
BinCtx: Multi-Modal Representation Learning for Robust Android App Behavior Detection
BinCtx: Multi-Modal Representation Learning for Robust Android App Behavior Detection
Zichen Liu
Shao Yang
Xusheng Xiao
AAML
108
0
0
16 Oct 2025
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
183
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
271
4
0
31 Mar 2025
"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications
"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
290
1
0
05 Mar 2025
Stealthy Backdoor Attack to Real-world Models in Android Apps
Stealthy Backdoor Attack to Real-world Models in Android Apps
Jiali Wei
Ming Fan
Xicheng Zhang
Wenjing Jiao
Jian Shu
Ting Liu
AAML
346
1
0
03 Jan 2025
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
290
6
0
27 Mar 2024
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey
Pitfalls in Language Models for Code Intelligence: A Taxonomy and SurveyACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Xinyu She
Yue Liu
Yanjie Zhao
Yiling He
Li Li
Chakkrit Tantithamthavorn
Zhan Qin
Haoyu Wang
ELM
266
23
0
27 Oct 2023
Pairwise GUI Dataset Construction Between Android Phones and Tablets
Pairwise GUI Dataset Construction Between Android Phones and TabletsNeural Information Processing Systems (NeurIPS), 2023
Han Hu
Haolan Zhan
Yujin Huang
Di Liu
401
5
0
07 Oct 2023
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
247
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
452
19
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
255
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
247
15
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
173
6
0
03 Dec 2022
Automation Slicing and Testing for in-App Deep Learning Models
Automation Slicing and Testing for in-App Deep Learning Models
Hao Wu
Yuhang Gong
Xiaopeng Ke
Hanzhong Liang
Minghao Li
Fengyuan Xu
Yunxin Liu
Sheng Zhong
213
1
0
15 May 2022
Smart App Attack: Hacking Deep Learning Models in Android Apps
Smart App Attack: Hacking Deep Learning Models in Android AppsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Yujin Huang
Chunyang Chen
FedMLAAML
233
24
0
23 Apr 2022
Security for Machine Learning-based Software Systems: a survey of
  threats, practices and challenges
Security for Machine Learning-based Software Systems: a survey of threats, practices and challengesACM Computing Surveys (ACM CSUR), 2022
Huaming Chen
Muhammad Ali Babar
AAML
364
41
0
12 Jan 2022
NeuronFair: Interpretable White-Box Fairness Testing through Biased
  Neuron Identification
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron IdentificationInternational Conference on Software Engineering (ICSE), 2021
Haibin Zheng
Zhiqing Chen
Tianyu Du
Xuhong Zhang
Yao Cheng
S. Ji
Jingyi Wang
Yue Yu
Jinyin Chen
193
71
0
25 Dec 2021
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms
Amin Eslami Abyane
Hadi Hemmati
AAML
227
3
0
20 Sep 2021
A Survey on Data-driven Software Vulnerability Assessment and
  Prioritization
A Survey on Data-driven Software Vulnerability Assessment and PrioritizationACM Computing Surveys (CSUR), 2021
T. H. Le
Huaming Chen
Muhammad Ali Babar
561
121
0
18 Jul 2021
OwlEyes-Online: A Fully Automated Platform for Detecting and Localizing
  UI Display Issues
OwlEyes-Online: A Fully Automated Platform for Detecting and Localizing UI Display Issues
Yuhui Su
Zhe Liu
Chunyang Chen
Peng Li
Qing Wang
302
15
0
06 Jul 2021
Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation
  with Secret Key
Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret KeyInformation Hiding and Multimedia Security Workshop (IH&MMSec), 2021
Maungmaung Aprilpyone
Hitoshi Kiya
267
18
0
09 Apr 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 InjectionInternational Conference on Software Engineering (ICSE), 2021
Yan Liang
Jiayi Hua
Haoyu Wang
Chunyang Chen
Yunxin Liu
FedMLSILM
226
95
0
18 Jan 2021
1
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