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 develop efficient tools for building robust and reliable machine learning systems that can have an impact to 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


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

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