dapowan / Penetrative-AI
☆12Updated last year
Alternatives and similar repositories for Penetrative-AI:
Users that are interested in Penetrative-AI are comparing it to the libraries listed below
- One-size-fits-all model for mobile AI, a novel paradigm for mobile AI in which the OS and hardware co-manage a foundation model that is c…☆25Updated last year
- The official PyTorch Implementation of MetaSense (MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing, ACM SenS…☆16Updated 2 years ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆53Updated 7 months ago
- Federated Few-shot Learning for Mobile NLP. Conditionally accepted by MobiCom'23.☆15Updated last year
- ☆23Updated 8 months ago
- Official code for the ICCV2023 paper ``One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training''☆18Updated last year
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆22Updated last year
- ☆21Updated 11 months ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆57Updated 2 years ago
- Repo for MobiCom 2022 paper: " Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition ".☆48Updated last year
- ☆19Updated last year
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".☆36Updated last year
- Likelihood Ratio Attack (LiRA) in PyTorch☆13Updated 3 weeks ago
- ☆12Updated 10 months ago
- Code for Backdoor Attacks Against Dataset Distillation☆34Updated last year
- This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protecti…☆55Updated last year
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆83Updated last month
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆33Updated last year
- ☆12Updated last year
- Four Federated learning datasets for Human Activity Recognition☆52Updated last year
- ☆64Updated 4 years ago
- ☆32Updated 3 years ago
- Offering recent HAR papers collection☆26Updated 3 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆29Updated 11 months ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆22Updated 3 years ago
- ☆18Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- ☆29Updated 2 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated last year