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Author Information
Sven Gowal (DeepMind)
Bogdan Kulynych (EPFL SPRING Lab)
PhD candidate in Computer Science at EPFL, Fellow at Harvard SEAS. B.Sc. from Kyiv Mohyla Academy in Ukraine. Formerly an intern at Google, CERN. I study privacy, security, reliability, and broader societal harms of algorithmic systems.
Marius Mosbach (Saarland University)
Nicholas Frosst (Google)
Phil Roth (Endgame)
Utku Ozbulak (Ghent University)
Simral Chaudhary (Carnegie Mellon University)
Toshiki Shibahara (NTT)
Salome Viljoen (Berkman Klein Center for Internet & Society, Harvard University)
Nikita Samarin (University of California, Berkeley)
Briland Hitaj (Stevens Institute of Technology)
Rohan Taori (UC Berkeley)
Rohan is a graduate student at Stanford University. He is interested in the foundations of machine learning with an emphasis on the reliability of real-world systems.
Emanuel Moss (Data & Society)
Emanuel Moss researches issues of fairness and accountability in machine learning at the Data & Society Research Institute. He is a doctoral student in cultural anthropology at the CUNY Graduate Center, where he is studying the work of data science from an ethnographic perspective and the role of data scientists as producers of knowledge. He is particularly interested in how data science is shaped by technological, economic, and ethical constraints and concerns. Emanuel holds a B.A. from the University of Illinois, and an M.A. from Brandeis University. He has previously worked as a digital and spatial information specialist for archaeological and environmental projects in the U.S. and Turkey, and has served as the art editor for the Journal of Field Archaeology.
Melody Guan (Stanford University)
Lukas Schott (University of Tuebingen)
Angus Galloway (University of Guelph)
Anna Golubeva (Perimeter Institute for Theoretical Physics)
PhD candidate Machine Learning and Quantum Many-Body Physics
Xiaomeng Jin (University of Toronto)
Felix Kreuk (Bar-Ilan University)
Akshayvarun Subramanya (UMBC)
Vipin Pillai (University of Maryland, Baltimore County)
I am a Computer Vision Ph.D. student at the University of Maryland, Baltimore County (UMBC) advised by Dr. Hamed Pirsiavash.
Hamed Pirsiavash (University of Maryland, Baltimore County)
Giuseppe Ateniese (Stevens Institute of Technology)
Ankita Kalra (Carnegie Mellon University)
Logan Engstrom (MIT)
Anish Athalye (MIT CSAIL)
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2021 : Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks »
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2021 Spotlight: Neural Additive Models: Interpretable Machine Learning with Neural Nets »
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2021 : Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning »
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2021 : Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes »
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2021 : A fine-grained analysis of robustness to distribution shifts »
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2021 : Score-Based Generative Classifiers »
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2022 : Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data »
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2022 : Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning »
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2022 : What You See is What You Get: Principled Deep Learning via Distributional Generalization »
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2022 : Adversarial Robustness for Tabular Data through Cost and Utility Awareness »
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2022 Poster: What You See is What You Get: Principled Deep Learning via Distributional Generalization »
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2022 Poster: 3DB: A Framework for Debugging Computer Vision Models »
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2021 Poster: Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications »
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2021 Poster: Neural Additive Models: Interpretable Machine Learning with Neural Nets »
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2021 Poster: Unadversarial Examples: Designing Objects for Robust Vision »
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2021 Poster: Data Augmentation Can Improve Robustness »
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2021 Poster: Improving Robustness using Generated Data »
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2021 : Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks »
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2020 Poster: A causal view of compositional zero-shot recognition »
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2020 Poster: CompRess: Self-Supervised Learning by Compressing Representations »
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2020 Spotlight: A causal view of compositional zero-shot recognition »
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2020 Poster: Measuring Robustness to Natural Distribution Shifts in Image Classification »
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2020 Poster: COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning »
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2020 Poster: Do Adversarially Robust ImageNet Models Transfer Better? »
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2020 Oral: Do Adversarially Robust ImageNet Models Transfer Better? »
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2020 Poster: The Autoencoding Variational Autoencoder »
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2020 Spotlight: The Autoencoding Variational Autoencoder »
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2019 : Poster Session 2 »
Mayur Saxena · Nicholas Frosst · Vivien Cabannes · Gene Kogan · Austin Dill · Anurag Sarkar · Joel Ruben Antony Moniz · Vibert Thio · Scott Sievert · Lia Coleman · Frederik De Bleser · Brian Quanz · Jonathon Kereliuk · Panos Achlioptas · Mohamed Elhoseiny · Songwei Ge · Aidan Gomez · Jamie Brew -
2019 : Morning Coffee Break & Poster Session »
Eric Metodiev · Keming Zhang · Markus Stoye · Randy Churchill · Soumalya Sarkar · Miles Cranmer · Johann Brehmer · Danilo Jimenez Rezende · Peter Harrington · AkshatKumar Nigam · Nils Thuerey · Lukasz Maziarka · Alvaro Sanchez Gonzalez · Atakan Okan · James Ritchie · N. Benjamin Erichson · Harvey Cheng · Peihong Jiang · Seong Ho Pahng · Samson Koelle · Sami Khairy · Adrian Pol · Rushil Anirudh · Jannis Born · Benjamin Sanchez-Lengeling · Brian Timar · Rhys Goodall · Tamás Kriváchy · Lu Lu · Thomas Adler · Nathaniel Trask · Noëlie Cherrier · Tomohiko Konno · Muhammad Kasim · Tobias Golling · Zaccary Alperstein · Andrei Ustyuzhanin · James Stokes · Anna Golubeva · Ian Char · Ksenia Korovina · Youngwoo Cho · Chanchal Chatterjee · Tom Westerhout · Gorka Muñoz-Gil · Juan Zamudio-Fernandez · Jennifer Wei · Brian Lee · Johannes Kofler · Bruce Power · Nikita Kazeev · Andrey Ustyuzhanin · Artem Maevskiy · Pascal Friederich · Arash Tavakoli · Willie Neiswanger · Bohdan Kulchytskyy · sindhu hari · Paul Leu · Paul Atzberger -
2019 : Poster session »
Candace Ross · Yassine Mrabet · Sanjay Subramanian · Geoffrey Cideron · Jesse Mu · Suvrat Bhooshan · Eda Okur Kavil · Jean-Benoit Delbrouck · Yen-Ling Kuo · Nicolas Lair · Gabriel Ilharco · T.S. Jayram · Alba María Herrera Palacio · Chihiro Fujiyama · Olivier Tieleman · Anna Potapenko · Guan-Lin Chao · Thomas Sutter · Olga Kovaleva · Farley Lai · Xin Wang · Vasu Sharma · Catalina Cangea · Nikhil Krishnaswamy · Yuta Tsuboi · Alexander Kuhnle · Khanh Nguyen · Dian Yu · Homagni Saha · Jiannan Xiang · Vijay Venkataraman · Ankita Kalra · Ning Xie · Derek Doran · Travis Goodwin · Asim Kadav · Shabnam Daghaghi · Jason Baldridge · Jialin Wu · Jingxiang Lin · Unnat Jain -
2019 Poster: Adversarial Robustness through Local Linearization »
Chongli Qin · James Martens · Sven Gowal · Dilip Krishnan · Krishnamurthy Dvijotham · Alhussein Fawzi · Soham De · Robert Stanforth · Pushmeet Kohli -
2019 Poster: Image Synthesis with a Single (Robust) Classifier »
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2019 Poster: Adversarial Examples Are Not Bugs, They Are Features »
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2019 Spotlight: Adversarial Examples Are Not Bugs, They Are Features »
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2018 : Poster Sessions and Lunch (Provided) »
Akira Utsumi · Alane Suhr · Ji Zhang · Ramon Sanabria · Kushal Kafle · Nicholas Chen · Seung Wook Kim · Aishwarya Agrawal · SRI HARSHA DUMPALA · Shikhar Murty · Pablo Azagra · Jean ROUAT · Alaaeldin Ali · · SUBBAREDDY OOTA · Angela Lin · Shruti Palaskar · Farley Lai · Amir Aly · Tingke Shen · Dianqi Li · Jianguo Zhang · Rita Kuznetsova · Jinwon An · Jean-Benoit Delbrouck · Tomasz Kornuta · Syed Ashar Javed · Christopher Davis · John Co-Reyes · Vasu Sharma · Sungwon Lyu · Ning Xie · Ankita Kalra · Huan Ling · Oleksandr Maksymets · Bhavana Mahendra Jain · Shun-Po Chuang · Sanyam Agarwal · Jerome Abdelnour · Yufei Feng · vincent albouy · Siddharth Karamcheti · Derek Doran · Roberta Raileanu · Jonathan Heek -
2018 : Adversarial Vision Challenge: Poster Session »
Yash Sharma · Lars Holdijk · Sascha Saralajew · Ziang Yan · Dmitrii Rashchenko · Iuliia Rashchenko · Jongseong Jang · Jungin Lee · jihyeun Yoon · KYUNGYUL KIM · Florian Laurent · Lukas Schott -
2018 Poster: To Trust Or Not To Trust A Classifier »
Heinrich Jiang · Been Kim · Melody Guan · Maya Gupta -
2017 : Synthesizing Robust Adversarial Examples »
Andrew Ilyas · Anish Athalye · Logan Engstrom · Kevin Kwok -
2017 : Posters »
Shane Barratt · Alex Groce · Qi Yan · Sapan Agarwal · Fabian Offert · Bogdan Kulynych · Housam Khalifa Bashier Babiker · Petar Stojanov · Topi Paananen · Jose Marcio Luna · Gilmer Valdes · Jacqueline A Mauro · Daniel Chen · Baruch Schieber · Randolph Goebel · Jacob Bien -
2017 Poster: Dynamic Routing Between Capsules »
Sara Sabour · Nicholas Frosst · Geoffrey E Hinton -
2017 Spotlight: Dynamic Routing Between Capsules »
Sara Sabour · Nicholas Frosst · Geoffrey E Hinton -
2016 Poster: Generating Videos with Scene Dynamics »
Carl Vondrick · Hamed Pirsiavash · Antonio Torralba