Dimitris Tsipras

I am a PhD student in Computer Science in the EECS department of MIT where I am advised by Aleksander Mądry. My goal is to build robust and reliable machine learning systems that can have an impact on the real world. I occasionally contribute to MadryLab's blog.

I did my undergraduate studies in the ECE department of NTUA, Greece, where I was a member of CoReLab working on Algorithmic Game Theory with Dimitris Fotakis.

I spent the summer of 2018 at Google Brain, working with Yoram Singer on optimization aspects of neural networks.

my face tsipras AT mit DOT edu


Computer Vision with a Single (Robust) Classifier
Shibani Santurkar*, Dimitris Tsipras*, Brandon Tran*, Andrew Ilyas*, Logan Engstrom*, Aleksander Mądry
Blog post, Code/Notebooks, Demo

Learning Perceptually-Aligned Representations via Adversarial Robustness
Logan Engstrom*, Andrew Ilyas*, Shibani Santurkar*, Dimitris Tsipras*, Brandon Tran*, Aleksander Mądry
Blog post, Code/Notebooks

Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas*, Shibani Santurkar*, Dimitris Tsipras*, Logan Engstrom*, Brandon Tran, Aleksander Mądry
Blog post, Datasets

On Evaluating Adversarial Robustness
Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian Goodfellow, Aleksander Mądry, Alexey Kurakin

Clean-Label Backdoor Attacks
Alexander Turner, Dimitris Tsipras, Aleksander Mądry

Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms?
Andrew Ilyas*, Logan Engstrom*, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, Aleksander Mądry
Blog post: part 1, part 2, part 3

Robustness May Be at Odds with Accuracy
Dimitris Tsipras*, Shibani Santurkar*, Logan Engstrom*, Alexander Turner, Aleksander Mądry
ICLR 2019

How Does Batch Normalization Help Optimization?
Shibani Santurkar*, Dimitris Tsipras*, Andrew Ilyas*, Aleksander Mądry
NeurIPS 2018 (oral presentation)
Blog post, 3-minute video

Adversarially Robust Generalization Requires More Data
Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras, Kunal Talwar, Aleksander Mądry
NeurIPS 2018 (spotlight presentation)

A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations
Logan Engstrom*, Brandon Tran*, Dimitris Tsipras*, Ludwig Schmidt, Aleksander Mądry
ICML 2019

Towards Deep Learning Models Resistant to Adversarial Attacks
(α-β order) Aleksander Mądry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu
ICLR 2018
Blog post: part 1 and part 2, MNIST Challenge, CIFAR10 Challenge

Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods,
(α-β order) Michael B. Cohen, Aleksander Mądry, Dimitris Tsipras, Adrian Vladu
FOCS 2017

Efficient Money Burning in General Domains
(α-β order) Dimitris Fotakis, Dimitris Tsipras, Christos Tzamos, Manolis Zampetakis
SAGT 2015
Invited to special issue of Theory of Computing Systems