A variant of the Bombieri-Vinogradov theorem with explicit constants and applications. - Amir Akbary; Kyle Hambrook (Math. Comput., 2015)

Recovery Guarantees for Compressible Signals with Adversarial Noise. - Jasjeet Dhaliwal; Kyle Hambrook (CoRR, 2019)

Compressive Recovery Defense: Defending Neural Networks Against ℓ2, ℓ∞, and ℓ0 Norm Attacks. - Jasjeet Dhaliwal; Kyle Hambrook (IJCNN, 2020)

DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees. - Jasjeet Dhaliwal; Kyle Hambrook (VISIGRAPP (4: VISAPP), 2022)