kernelmethod

I’m Will! You may also know me by kernelmethod in many spaces.

I taught a section of CS3710: Intro to Cybersecurity for the University of Virginia in Fall 2022.
- I wrote all of the lecture materials, assignments, and exams for my class! You can find code for assignments here; lecture materials will be published to their own repo in the near-ish future.
BSides Boulder: I’m a co-founder of the BSides Boulder security conference.
The Encryption Compendium: I co-developed The Encryption Compendium, which provides comprehensive resources on debates around encryption policy.

Tardis: a simple multi-executable packer and crypter that I wrote for ISTS 2022.
LSHFunctions.jl: a Julia package for locality-sensitive hashing.
Seagrass: a library for dynamically instrumenting and auditing Python code at runtime. I started developing this package alongside my research to help me debug and profile my code more easily.
ChaChaCiphers.jl: a Julia implementation of the ChaCha stream cipher family. It provides keystream access compatible with Julia’s AbstractRNG interface, which allows for fast, GPU-compatible CRNG. You should also check out my fork of pytorch/csprng for PyTorch-compatible secure RNG.
I’m a massive AppArmor nerd. I’ve written homework assignments on AppArmor and added AppArmor integration to sudo (currently available in Debian unstable). I’m hoping to eventually get out my long-planned AppArmor internals blog series (ETA “whenever I have a few months to kill”).
I’ve written a handful of mods for the science-fantasy roguelike game Caves of Qud. I’m also the author of the Snapjaw Mages! introductory modding tutorial.

Kunlin Cai, Jinghuai Zhang, Zhiqing Hong, William Shand, Guang Wang, Desheng Zhang, Jianfeng Chi, and Yuan Tian. 2024. Where Have You Been? A Study of Privacy Risk for Point-of-Interest Recommendation. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ‘24). Association for Computing Machinery, New York, NY, USA, 175–186. https://doi.org/10.1145/3637528.3671758
Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian. Conditional Supervised Contrastive Learning for Fair Text Classification. EMNLP Findings 2022. https://arxiv.org/abs/2205.11485
William Shand, Stephen Becker. 2020. Locality-sensitive hashing in function spaces (preprint). https://arxiv.org/abs/2002.03909