9 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CR2024★ 1 cited
MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference
Parsa Ghazvinian, Robert Podschwadt, Prajwal Panzade +2
Due to the extensive application of machine learning (ML) in a wide range of fields and the necessity of data privacy, privacy-preserving machine learning (PPML) solutions have rec…
cs.CL2024★ 9 cited
SSCAE -- Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator
Javad Rafiei Asl, Mohammad H. Rafiei, Manar Alohaly +1
Machine learning models are vulnerable to maliciously crafted Adversarial Examples (AEs). Training a machine learning model with AEs improves its robustness and stability against a…