Cybersecurity Urgent

Adversarial Robustness in Vision Transformers

MIT Cambridge, MA Deadline: May 1, 2026 $2,600/month stipend
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Project Overview

Study adversarial attack vectors targeting vision transformer models. Design and evaluate novel defense mechanisms. Publish findings in top-tier security conferences.

Duration

9 months

Min. GPA

3.50+

Level

MS/PhD

Work Mode

Hybrid

Department

Computer Science & AI

Stipend

$2,600/mo

Core Requirements

  • Deep understanding of ViTs, PyTorch, experience with adversarial ML frameworks. GPA 3.5+

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Principal Investigator

DJ

Dr. Julian Vane

Computer Science & AI

MIT

Professor of AI and Machine Learning with 15 years experience. Led 12 funded research projects....

Machine Learning Neural Networks Deep Learning NLP

Recent Publications

Attention Mechanisms for Spatiotemporal Climate Prediction

Nature Machine Intelligence · 2025

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ICML 2025 · 2025

Privacy-Utility Tradeoffs in Differentially Private FL

IEEE S&P 2024 · 2024

Top-Rated Lab

4 publications in Nature/IEEE 2024-25

View Lab Portal

Position Specifications

Deadline May 1, 2026
Duration 9 months
Location Cambridge, MA
Work Mode Hybrid
Level MS/PhD
GPA Required 3.50+

Application Closes In

Expired

May 1, 2026