[ICSE-SEIP'21] Robustness of on-device Models: AdversarialAttack to Deep Learning Models on Android Apps
☆16Jun 2, 2022Updated 3 years ago
Alternatives and similar repositories for AppAIsecurity
Users that are interested in AppAIsecurity are comparing it to the libraries listed below
Sorting:
- [TIFS'22]Smart App Attack: Hacking Deep Learning Models in Android Apps☆16Jun 8, 2022Updated 3 years ago
- An Empirical Study of AI Techniques in Mobile Applications☆12May 28, 2024Updated last year
- SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice☆16May 19, 2025Updated 10 months ago
- Code for our paper "Modelobfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems" that has been published by ISSTA…☆19May 18, 2024Updated last year
- Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"☆46Oct 12, 2022Updated 3 years ago
- Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)☆25Oct 21, 2021Updated 4 years ago
- On-device Machine Learning model analyzer and extractor for Android Apps, check out our USENIX Security'21 paper "Mind Your Weight(s): A …☆34Feb 8, 2022Updated 4 years ago
- Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)☆24Dec 9, 2021Updated 4 years ago
- GPTZoo: A Large-scale Dataset of GPTs for the Research Community☆25Jun 18, 2024Updated last year
- ☆23Aug 24, 2020Updated 5 years ago
- Code for paper "Membership Inference Attacks Against Vision-Language Models"☆27Jan 25, 2025Updated last year
- Pytorch implementation of Backdoor Attack against Speaker Verification☆28Sep 19, 2023Updated 2 years ago
- To store some CTF_reverse_bins and scripts☆11Nov 17, 2019Updated 6 years ago
- 恶意代码家族聚类。DataCon☆11Jun 4, 2019Updated 6 years ago
- Official implementation repository for the paper Towards General Conceptual Model Editing via Adversarial Representation Engineering.☆19Dec 6, 2024Updated last year
- Implementation of Contrastive Predictive Coding for Natural Language☆10Sep 16, 2020Updated 5 years ago
- 通过内存特征检测frida☆10Nov 5, 2019Updated 6 years ago
- Canadian Debt Strategy Model☆19Dec 14, 2023Updated 2 years ago
- ☆10Dec 25, 2019Updated 6 years ago
- Code & experiments for MINDWALC: Mining Interpretable, Discriminative Walks for Classification of Nodes in a Graph☆13Jul 4, 2024Updated last year
- Source Code for 'AI for Healthcare with Keras and Tensorflow 2.0' by Anshik Bansal☆15Jul 19, 2021Updated 4 years ago
- 计算机视觉:阅读 & 写作 & 学习☆16Oct 4, 2022Updated 3 years ago
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆11Mar 9, 2021Updated 5 years ago
- The toolchain of Chosen-instruction attack☆21May 3, 2022Updated 3 years ago
- My ctf-writeups☆12Jan 28, 2019Updated 7 years ago
- ☆17Mar 17, 2020Updated 6 years ago
- 从Androzoo下载数据集,区分年份以及良性/恶意应用,支持协程、代理、断点继续、错误重试等☆57Oct 19, 2023Updated 2 years ago
- Conv Net for identifying GUI componenets from screenshots using Tensorflow☆12Mar 24, 2023Updated 2 years ago
- implementation of http://arxiv.org/pdf/1511.06391v4.pdf in keras☆13Oct 3, 2016Updated 9 years ago
- 一款适用于iOS的隐私合规检测工具☆17Feb 25, 2024Updated 2 years ago
- Frida uses libunwind for generating backtraces on some platforms☆17Jun 22, 2024Updated last year
- A tool to instrument Android APKs based on Soot☆15Jul 8, 2020Updated 5 years ago
- [ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Infer…☆15Feb 16, 2022Updated 4 years ago
- ☆15Feb 5, 2022Updated 4 years ago
- Android third-party library Detection☆17Mar 7, 2020Updated 6 years ago
- An analyzer of JNI code that matches native code information with Java code☆23Nov 12, 2021Updated 4 years ago
- ☆14Apr 11, 2024Updated last year
- ☆11Dec 7, 2019Updated 6 years ago
- Code from some of the posts I published at https://medium.com/@xoelop☆15Nov 13, 2018Updated 7 years ago