Edward Raff

Affiliations

Booz Allen HamiltonLaboratory for Physical SciencesUniversity of Maryland, Baltimore County

papers

920

total citations

papers (11)

VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance

ECCV 2022arXiv

445

citations

Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory

CVPR 2020arXiv

citations

Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests

NEURIPS 2023arXiv

citations

Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations

NEURIPS 2023arXiv

citations

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation

AAAI 2025arXiv

citations

Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent

CVPR 2025arXiv

citations

KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors

ICML 2025arXiv

citations

Edward Raff

Affiliations

papers (11)

VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance

LEACE: Perfect linear concept erasure in closed form

Emergent and Predictable Memorization in Large Language Models

A General Framework for Auditing Differentially Private Machine Learning

Learning with Holographic Reduced Representations

Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory

Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests

Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation

Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent

KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors

papers (11)

VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance

LEACE: Perfect linear concept erasure in closed form

Emergent and Predictable Memorization in Large Language Models

A General Framework for Auditing Differentially Private Machine Learning

Learning with Holographic Reduced Representations

Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory

Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests

Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation

Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent

KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors