Awards

2017

Student Travel Award (34th International Conference on Machine Learning)

2017

Student Travel Award (5th International Conference on Learning Representations)

2017

Best Paper Award (5th International Conference on Learning Representations)

2016

Graduate Research Award (The Pennsylvania State University)

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

January 2018

Security and Privacy in Machine Learning (Wonder: The Future of Science and Engineering Conference)

December 2017

Tutorial on Security and Privacy in Machine Learning (IEEE WIFS 2017, invited by Luisa Verdoliva)

November 2017

Security in Machine Learning with CleverHans (ODSC West)

November 2017

Lecture on Adversarial Machine Learning (Prof. Trent Jaeger's graduate computer security class, Penn State)

October 2017

Security and Privacy in Machine Learning (Georgian Partners annual summit, invited by Yevgeniy Vahlis)

Past

When a recording of the talk is available, the title links to the corresponding video.

October 2017

Private Machine Learning with PATE (With the Best online conference)

September 2017

Gradient Masking in Machine Learning (Adversarial Machine Learning Workshop, Stanford University)

September 2017

Security and Privacy in Machine Learning (Ecole Centrale de Lyon)

September 2017

Security and Privacy in Machine Learning (Oxford University, invited by Marta Kwiatkowska)

August 2017

Tutorial on adversarial ML with CleverHans (ICML workshop on Reproducibility in ML)

April 2017

April 2017

March 2017

Security and Privacy in Machine Learning (Microsoft Research Cambridge, invited by Olya Ohrimenko)

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)

February 2017

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

February 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

August 2016

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

Invited Panels

March 2017

Adversarial Examples in Machine Learning (Stanford AI Salon, joint invitation with Ian Goodfellow)

January 2017

September 2016

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

Posters

May 2017

Extending Defensive Distillation (IEEE S&P 2017 poster session)

April 2017

Adversarial Attacks on Neural Network Policies (ICLR Workshop track 2017)

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)

Professional activities

Program committee member

2018

NDSS

AsiaCCS

AI Xprize

Organizing committee

2017

NIPS workshop on Secure ML

Self-Organizing Conference on Machine Learning (SOCML)

With the Best online conference on Cybersecurity

Reviewer

2018

IEEE S&P

IEEE Pervasive special issue on "Securing the IoT"

2017

NIPS

IEEE S&P Magazine

Agence Nationale de la Recherche (equivalent of the US NSF in France)

ICML

IEEE S&P

IEEE Transactions on Information Forensics & Security

IEEE Transactions on Dependable and Secure Computing

2016

DIMVA

ACM WiSec

Press coverage

April 2017

The Verge (about our work on adversarial machine learning)

April 2017

GCN (about our work on adversarial machine learning)

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