A curated list of awesome responsible machine learning resources.

Secure Linear Regression in the Semi-Honest Two-Party Setting.

Implementation of privacy-preserving SVM assuming public model private data scenario

Privacy-preserving distributed machine learning framework that trains models across devices without sharing raw data - enterprise-grade federated AI.

Efficient classification of Mobile Gallery Images

Answer Architect: A secure RAG scaffold: ingestion & chunking, embeddings, pgvector/OpenSearch retrieval, Bedrock LLM adapter, prompt manager, Step Functions orchestration, CDK infra scaffolding, tests, and deploy safety guardrails

GitHub profile README for Pooja Kiran's ML security portfolio.