Resources

Our organizing team has compiled a non-exhaustive list of relevant resources. We hope these can be useful both for brainstorming project ideas as well as general learning.

Co-Design

• Design from the Margins: Centering the Most Marginalized and Impacted in Design Processes—from Ideation to Production
• Introduction to community-led co-design
• Community Co-Design Tools and Tactics: An approach to equitable community engagement and action

Community Needs

• Engineering privacy for vulnerable populations
• Consentful Tech Zine
• Toward Safer Intimate Futures: Recommendations for Tech Platforms to Reduce Image Based Sexual Abuse
• SoK: Safer Digital-Safety Research Involving At-Risk Users

Community Applications

• Applications of MP-FHE for Vulnerable Communities
• Callisto: A Cryptographic Approach to Detecting Serial Perpetrators of Sexual Misconduct
• Privacy Preserving Data Governance

Guides: Privacy, Digital Safety and Self-Defense

• Digital Defense Fund: Privacy Guides
• T4Tech: Digital Personas Zine, Doxxing Self Defense
• Zebra Crossing: Digital Safety Checklist
• EFF: Surveillance Self-Defense

Cryptography and Privacy-Enhancing Technologies (PETs)

Programmable Cryptography

A framework for applying cryptographic primitives such as zero-knowledge, multi-party computation, fully homomorphic encryption, and more.

• Programmable Cryptography (Part 1)
• Three Easy Pieces in Programmable Cryptography - Download (easy.pdf)
• 0xPARC notes

Zero-knowledge (ZK):

• Zero-Knowledge Proofs: A Beginner’s Guide
• Modern Zero Knowledge Cryptography
• Zero-Knowledge Proof: Applications and Use Cases

Multi-party computation (MPC):

• A Beginner’s Guide to Secure Multiparty Computation
• What Is Multiparty Computation?
• MPC math:
  • Vitalik’s “A Quick Garbled Circuits Primer”

Fully homomorphic encryption (FHE):

• A 6-minute introduction to Fully Homomorphic Encryption (FHE)
• A High-Level Technical Overview of Fully Homomorphic Encryption
• TFHE Deep Dive
• Homomorphic Encryption Use Cases
• FHE math:
  • Homomorphic Encryption from Learning with Errors: Conceptually-Simpler, Asymptotically-Faster, Attribute-Based - lacks explanation of bootstrapping needed for computing circuits in FHE
  • Fully Homomorphic Encryption Using Ideal Lattices - on bootstrapping
  • Efficient Fully Homomorphic Encryption from (Standard) LWE - explains dimension and modulus reduction needed for bootstrapping

Other privacy-enhancing technologies

• Trusted Execution Environments (TEEs) - can achieve privacy without cryptography