Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps

18 February 2020

Papers citing "Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps"

38 / 38 papers shown

Title
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection Shiwen Song Xiaofei Xie Ruitao Feng Qi Guo Sen Chen AAML 39 0 0 28 Apr 2025
THEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models Yujin Huang Zhi Zhang Qingchuan Zhao Xingliang Yuan Chunyang Chen 37 0 0 31 Mar 2025
ProDiF: Protecting Domain-Invariant Features to Secure Pre-Trained Models Against Extraction Tong Zhou Shijin Duan Gaowen Liu Charles Fleming Ramana Rao Kompella Shaolei Ren Xiaolin Xu AAML 60 0 0 17 Mar 2025
"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications Jack West Bengisu Cagiltay Shirley Zhang Jingjie Li Kassem Fawaz Suman Banerjee 65 0 0 05 Mar 2025
Stealthy Backdoor Attack to Real-world Models in Android Apps Jiali Wei Ming Fan Xicheng Zhang Wenjing Jiao H. Wang Ting Liu AAML 26 0 0 03 Jan 2025
Towards Data Governance of Frontier AI Models Jason Hausenloy Duncan McClements Madhavendra Thakur 72 1 0 05 Dec 2024
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 37 2 0 15 Nov 2024
A Novel Access Control and Privacy-Enhancing Approach for Models in Edge Computing Peihao Li 25 0 0 06 Nov 2024
SLIP: Securing LLMs IP Using Weights Decomposition Yehonathan Refael Adam Hakim Lev Greenberg T. Aviv S. Lokam Ben Fishman Shachar Seidman 43 3 0 15 Jul 2024
AuthNet: Neural Network with Integrated Authentication Logic Yuling Cai Fan Xiang Guozhu Meng Yinzhi Cao Kai Chen AAML 53 0 0 24 May 2024
TBNet: A Neural Architectural Defense Framework Facilitating DNN Model Protection in Trusted Execution Environments Ziyu Liu Tong Zhou Yukui Luo Xiaolin Xu 25 2 0 07 May 2024
Octopus v4: Graph of language models Wei Chen Zhiyuan Li 30 5 0 30 Apr 2024
GuaranTEE: Towards Attestable and Private ML with CCA S. Siby Sina Abdollahi Mohammad Maheri Marios Kogias Hamed Haddadi 35 7 0 29 Mar 2024
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 29 4 0 27 Mar 2024
MirrorNet: A TEE-Friendly Framework for Secure On-device DNN Inference Ziyu Liu Yukui Luo Shijin Duan Tong Zhou Xiaolin Xu FedML 17 10 0 16 Nov 2023
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML Ziqi Zhang Chen Gong Yifeng Cai Yuanyuan Yuan Bingyan Liu Ding Li Yao Guo Xiangqun Chen FedML 37 16 0 11 Oct 2023
Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting Ping He Yifan Xia Xuhong Zhang Shouling Ji AAML 18 12 0 05 Sep 2023
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 11 0 0 03 Jul 2023
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems Mingyi Zhou Xiang Gao Jing Wu John C. Grundy Xiao Chen Chunyang Chen Li Li AAML 31 12 0 01 Jun 2023
Beyond the Model: Data Pre-processing Attack to Deep Learning Models in Android Apps Ye Sang Yujin Huang Shuo Huang Helei Cui AAML SILM 23 5 0 06 May 2023
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation Tong Zhou Yukui Luo Shaolei Ren Xiaolin Xu AAML 49 15 0 28 Apr 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 11 3 0 17 Apr 2023
A Light-weight Deep Learning Model for Remote Sensing Image Classification L. D. Pham Cam Le Dat Ngo A. Nguyen Jasmin Lampert Alexander Schindler Ian Mcloughlin 31 2 0 25 Feb 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 31 75 0 29 Dec 2022
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks Seonhye Park A. Abuadbba Shuo Wang Kristen Moore Yansong Gao Hyoungshick Kim Surya Nepal AAML 17 2 0 24 Nov 2022
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification Cam Le L. D. Pham Nghia Nvn Truong Thao Nguyen L. Trang 18 2 0 05 Nov 2022
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context L. D. Pham Dusan Salovic Anahid N. Jalali Alexander Schindler Khoa Tran H. Vu Phu X. Nguyen 16 5 0 16 Oct 2022
Understanding Real-world Threats to Deep Learning Models in Android Apps Zizhuang Deng Kai Chen Guozhu Meng Xiaodong Zhang Ke Xu Yao Cheng AAML 20 26 0 20 Sep 2022
Edge Security: Challenges and Issues Xin Jin Charalampos Katsis Fan Sang Jiahao Sun A. Kundu Ramana Rao Kompella 39 8 0 14 Jun 2022
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 41 1 0 15 May 2022
Smart App Attack: Hacking Deep Learning Models in Android Apps Yujin Huang Chunyang Chen FedML AAML 15 21 0 23 Apr 2022
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective Kha Dinh Duy Taehyun Noh Siwon Huh Hojoon Lee 56 9 0 05 Nov 2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild Mario Almeida Stefanos Laskaridis Abhinav Mehrotra L. Dudziak Ilias Leontiadis Nicholas D. Lane HAI 112 44 0 28 Sep 2021
LEAP: TrustZone Based Developer-Friendly TEE for Intelligent Mobile Apps Lizhi Sun Shuocheng Wang Hao Wu Yuhang Gong Fengyuan Xu Yunxin Liu Hao Han Sheng Zhong 20 9 0 04 Feb 2021
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps Yujin Huang Han Hu Chunyang Chen AAML FedML 72 33 0 12 Jan 2021
ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks Zhichuang Sun Ruimin Sun Changming Liu A. Chowdhury Long Lu S. Jha FedML 29 18 0 11 Nov 2020
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016