Logan EngstromEmail: email@example.com
Google Scholar: here
I'm a fourth year undergraduate at MIT studying Computer Science. I'm most interested in machine learning, optimization, and statistics. I currently work with Aleksander Mądry at MIT. I am generously supported through a Siebel Scholarship. I previously interned at Two Sigma (summer 2018), Google Brain (summer 2017) and Apple (summer 2016).
At MIT I played for the ESP intramural flag football and dodgeball teams. I used to organize HackMIT and help out in USAGE, the undergraduate advisory board for MIT EECS.
Anish Athalye*, Logan Engstrom*, Andrew Ilyas*, and Kevin Kwok. Synthesizing Robust Adversarial Examples. ICML 2018, Demo at NeurIPS 2017 Machine Learning and Computer Security Workshop.
Dimitris Tsipras*, Shibani Santurkar*, Logan Engstrom*, Alexander Turner, and Aleksander Mądry. Robustness May Be at Odds with Accuracy. ICLR 2019.
Andrew Ilyas*, Logan Engstrom*, Ludwig Schmidt, and Aleksander Mądry. Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors. ICLR 2019.
Andrew Ilyas*, Logan Engstrom*, Anish Athalye*, and Jessy Lin*. Black-box Adversarial Attacks with Limited Queries and Information. ICML 2018.
Logan Engstrom*, Brandon Tran*, Dimitris Tsipras*, Ludwig Schmidt, and Aleksander Mądry. A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations. NIPS 2017 Machine Learning and Computer Security Workshop.
Logan Engstrom*, Andrew Ilyas*, and Anish Athalye*. Evaluating and Understanding the Robustness of Adversarial Logit Pairing. NIPS 2018 Machine Learning and Computer Security Workshop.
Daniel Kang, Richard Sherwood, Amira Barkal, Tatsunori Hashimoto, Logan Engstrom, and David Gifford. DNase-capture Reveals Differential Transcription Factor Binding modalities. PloS one, 2017.
Andrew Ilyas*, Logan Engstrom*, Shibani Santurkar, Dimitris Tsipras, Firdaus Janoos, Larry Rudolph, and Aleksander Mądry.
Are Deep Policy Gradient Algorithms