Awards

2016

2015

Graduate Research Assistantship (The Pennsylvania State University)

2015

2014

Graduate Research Assistantship (The Pennsylvania State University)

2010

Scholarship for Exceptional Academic Achievements (McGill) [declined]

2010

High School Diploma with High Honors (Ministry of Education, France)

Invited Talks

Upcoming

April 2017

Adversarial Examples in Machine Learning (AI with the Best, jointly with Patrick McDaniel)

April 2017

Security and Privacy in Machine Learning (Deep Learning Summit Singapore)

March 2017

Security and Privacy in Machine Learning (University of Cambridge, invited by Alastair Beresford)

February 2017

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (Stanford, invited by Dan Boneh)

February 2017

Adversarial Machine Learning (Data Mining for Cyber Security meetup, invited by Clarence Chio)

Past

February 2017

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (Symantec, invited by R. Feinman)

February 2017

Adversarial Examples in Machine Learning (Usenix Enigma 2017)

January 2017

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (LeapYear, invited by I. Nerurkar)

January 2017

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (Immuta, invited by Steve Touw)

December 2016

Security and Privacy in Machine Learning (Ecole Centrale de Lyon, invited by Frank Debouck)

October 2016

Adversarial Examples in Machine Learning (LinkedIn, invited by David Freeman)

October 2016

Adversarial Examples in Machine Learning (Stanford, invited by Dan Boneh)

October 2016

Adversarial Examples in Machine Learning (Berkeley, invited by Pieter Abbeel)

September 2016

Adversarial Examples in Machine Learning (joint talk with Ian Goodfellow at AutoSens, Brussels)

August 2016

Adversarial Examples in Machine Learning (Google, invited by Úlfar Erlingsson)

Invited Panels

January 2017

September 2016

What role will AI play in the future of autonomous vehicles and ADAS? (AutoSens 2016)

Posters

December 2016

Machine Learning with Privacy by Knowledge Aggregation and Transfer (NIPS Workshop: PMPML 2016)

October 2016

Deep Learning with Privacy by Knowledge Aggregation and Transfer (OpenAI ML Unconference)

October 2016

Adversarial Examples in Machine Learning (OpenAI ML Unconference)

August 2016

Adversarial Examples in Machine Learning (Google PhD Fellowship Summit)

August 2016

Deep Learning with Privacy by Knowledge Aggregation and Transfer (Google Research Intern Poster Session)

Press coverage

November 2016

October 2016

September 2016

Wired (about model extraction, including our work on practical black-box attacks)

September 2016

Quartz (about cleverhans, the library I co-authored with Ian Goodfellow)

March 2016

Professional activities

Reviewer

2017

IEEE S&P

IEEE Transactions on Information Forensics & Security

IEEE Transactions on Dependable and Secure Computing

2016

DIMVA

ACM WiSec