Invited Tutorials

Past

January 2018

Security and Privacy in Machine Learning (INRIA Data Institute)

December 2017

Tutorial on Security and Privacy in Machine Learning (IEEE WIFS 2017)

November 2017

Adversarial Machine Learning with CleverHans (ODSC West, joint tutorial with Nicholas Carlini)

August 2017

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

Invited Talks

Upcoming

February 2018

Security and Privacy in Machine Learning (Intel Labs)

February 2018

Security and Privacy in Machine Learning (Age of AI Conference)

January 2018

Security and Privacy in Machine Learning (Bar Ilan University)

January 2018

Security and Privacy in Machine Learning (IVADO)

January 2018

Security and Privacy in Machine Learning (Ecole Polytechnique Montreal)

January 2018

Security and Privacy in Machine Learning (Element AI)

2018

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

Past

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

November 2017

Lecture on Security and Privacy in Machine Learning (Prof. Trent Jaeger's computer security class, Penn State)

October 2017

Security and Privacy in Machine Learning (Georgian Partners annual summit)

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)

April 2017

April 2017

March 2017

Security and Privacy in Machine Learning (Microsoft Research Cambridge)

March 2017

Security and Privacy in Machine Learning (University of Cambridge)

February 2017

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (Stanford)

February 2017

Adversarial Machine Learning (Data Mining for Cyber Security meetup)

February 2017

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (Symantec)

February 2017

January 2017

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (LeapYear)

January 2017

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (Immuta)

December 2016

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

October 2016

Adversarial Examples in Machine Learning (LinkedIn)

October 2016

Adversarial Examples in Machine Learning (Stanford)

October 2016

Adversarial Examples in Machine Learning (Berkeley)

September 2016

August 2016

Adversarial Examples in Machine Learning (Google)

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

December 2017

Ensemble Adversarial Training (NIPS ML Deception Workshop)

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)