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Author Information
Remi Denton (Google)

Remi Denton (they/them) is a Staff Research Scientist at Google, within the Technology, AI, Society, and Culture team, where they study the sociocultural impacts of AI technologies and conditions of AI development. Prior to joining Google, Remi received their PhD in Computer Science from the Courant Institute of Mathematical Sciences at New York University, where they focused on unsupervised learning and generative modeling of images and video. Prior to that, they received their BSc in Computer Science and Cognitive Science at the University of Toronto. Though trained formally as a computer scientist, Remi draws ideas and methods from multiple disciplines and is drawn towards highly interdisciplinary collaborations, in order to examine AI systems from a sociotechnical perspective. Remi’s recent research centers on emerging text- and image-based generative AI, with a focus on data considerations and representational harms. Remi published under the name "Emily Denton".
Devi Parikh (Georgia Tech / Facebook AI Research (FAIR))
Bo Li (UIUC)
Adriana Romero (FAIR)
More from the Same Authors
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2021 : Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research »
Bernard Koch · Remi Denton · Alex Hanna · Jacob G Foster -
2021 : Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models »
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2021 : Artsheets for Art Datasets »
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2021 : AI and the Everything in the Whole Wide World Benchmark »
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2021 : Certified Robustness for Free in Differentially Private Federated Learning »
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2021 : RVFR: Robust Vertical Federated Learning via Feature Subspace Recovery »
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2021 : What Would Jiminy Cricket Do? Towards Agents That Behave Morally »
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2022 Poster: VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? »
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2022 : Improving Vertical Federated Learning by Efficient Communication with ADMM »
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2022 : Benchmarking Robustness under Distribution Shift of Multimodal Image-Text Models »
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2022 : DensePure: Understanding Diffusion Models towards Adversarial Robustness »
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2022 : Fifteen-minute Competition Overview Video »
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2022 : On the Robustness of Safe Reinforcement Learning under Observational Perturbations »
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2023 Poster: FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning »
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2023 Poster: Do Imperceptible Perturbations Really Prevent Unauthorized Data Usage in Diffusion-based Image Generation Systems? »
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2023 Poster: DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification »
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2023 Poster: Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand »
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2023 Poster: CBD: A Certified Backdoor Detector Based on Local Dominant Probability »
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2023 Poster: Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization »
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2023 Poster: WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data »
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2023 Poster: DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models »
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2023 Oral: DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models »
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2023 Competition: TDC 2023 (LLM Edition): The Trojan Detection Challenge »
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2022 : Contributed Talk: DensePure: Understanding Diffusion Models towards Adversarial Robustness »
Zhongzhu Chen · Kun Jin · Jiongxiao Wang · Weili Nie · Mingyan Liu · Anima Anandkumar · Bo Li · Dawn Song -
2022 Workshop: Trustworthy and Socially Responsible Machine Learning »
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2022 Spotlight: Fairness in Federated Learning via Core-Stability »
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2022 Competition: The Trojan Detection Challenge »
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2022 Spotlight: LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness »
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2022 Spotlight: Lightning Talks 5B-1 »
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2022 Competition: Reconnaissance Blind Chess: An Unsolved Challenge for Multi-Agent Decision Making Under Uncertainty »
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2022 Spotlight: Certifying Some Distributional Fairness with Subpopulation Decomposition »
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2022 Spotlight: Lightning Talks 1A-4 »
Siwei Wang · Jing Liu · Nianqiao Ju · Shiqian Li · Eloïse Berthier · Muhammad Faaiz Taufiq · Arsene Fansi Tchango · Chen Liang · Chulin Xie · Jordan Awan · Jean-Francois Ton · Ziad Kobeissi · Wenguan Wang · Xinwang Liu · Kewen Wu · Rishab Goel · Jiaxu Miao · Suyuan Liu · Julien Martel · Ruobin Gong · Francis Bach · Chi Zhang · Rob Cornish · Sanmi Koyejo · Zhi Wen · Yee Whye Teh · Yi Yang · Jiaqi Jin · Bo Li · Yixin Zhu · Vinayak Rao · Wenxuan Tu · Gaetan Marceau Caron · Arnaud Doucet · Xinzhong Zhu · Joumana Ghosn · En Zhu -
2022 Spotlight: Lightning Talks 1A-3 »
Kimia Noorbakhsh · Ronan Perry · Qi Lyu · Jiawei Jiang · Christian Toth · Olivier Jeunen · Xin Liu · Yuan Cheng · Lei Li · Manuel Rodriguez · Julius von Kügelgen · Lars Lorch · Nicolas Donati · Lukas Burkhalter · Xiao Fu · Zhongdao Wang · Songtao Feng · Ciarán Gilligan-Lee · Rishabh Mehrotra · Fangcheng Fu · Jing Yang · Bernhard Schölkopf · Ya-Li Li · Christian Knoll · Maks Ovsjanikov · Andreas Krause · Shengjin Wang · Hong Zhang · Mounia Lalmas · Bolin Ding · Bo Du · Yingbin Liang · Franz Pernkopf · Robert Peharz · Anwar Hithnawi · Julius von Kügelgen · Bo Li · Ce Zhang -
2022 Spotlight: VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? »
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2022 Spotlight: CoPur: Certifiably Robust Collaborative Inference via Feature Purification »
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2022 : Panel »
Pin-Yu Chen · Alex Gittens · Bo Li · Celia Cintas · Hilde Kuehne · Payel Das -
2022 : Trustworthy Machine Learning in Autonomous Driving »
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2022 Workshop: Decentralization and Trustworthy Machine Learning in Web3: Methodologies, Platforms, and Applications »
Jian Lou · Zhiguang Wang · Chejian Xu · Bo Li · Dawn Song -
2022 : Invited Talk #5, Privacy-Preserving Data Synthesis for General Purposes, Bo Li »
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2022 : Fairness Panel »
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2022 : Trustworthy Federated Learning »
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2022 Poster: Improving Certified Robustness via Statistical Learning with Logical Reasoning »
Zhuolin Yang · Zhikuan Zhao · Boxin Wang · Jiawei Zhang · Linyi Li · Hengzhi Pei · Bojan Karlaš · Ji Liu · Heng Guo · Ce Zhang · Bo Li -
2022 Poster: Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection »
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2022 Poster: Fairness in Federated Learning via Core-Stability »
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2022 Poster: Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning »
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2022 Poster: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding »
Chitwan Saharia · William Chan · Saurabh Saxena · Lala Li · Jay Whang · Remi Denton · Kamyar Ghasemipour · Raphael Gontijo Lopes · Burcu Karagol Ayan · Tim Salimans · Jonathan Ho · David Fleet · Mohammad Norouzi -
2022 Poster: Certifying Some Distributional Fairness with Subpopulation Decomposition »
Mintong Kang · Linyi Li · Maurice Weber · Yang Liu · Ce Zhang · Bo Li -
2022 Poster: LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness »
Xiaojun Xu · Linyi Li · Bo Li -
2022 Poster: CoPur: Certifiably Robust Collaborative Inference via Feature Purification »
Jing Liu · Chulin Xie · Sanmi Koyejo · Bo Li -
2022 Poster: Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models »
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2022 Poster: SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles »
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2022 Poster: General Cutting Planes for Bound-Propagation-Based Neural Network Verification »
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2021 : Live panel: ImageNets of "x": ImageNet's Infrastructural Impact »
Remi Denton · Alex Hanna -
2021 : ImageNets of "x": ImageNet's Infrastructural Impact »
Remi Denton · Alex Hanna -
2021 : AI for Augmenting Human Creativity »
Devi Parikh -
2021 : Live Q&A with Bo Li »
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2021 : Invited talk – Trustworthy Machine Learning via Logic Inference, Bo Li »
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2021 : Live Q&A with Adriana Romero-Soriano »
Adriana Romero -
2021 : Invited talk – Seeing the unseen: Inferring unobserved information from limited sensory data, Adriana Romero Soriano »
Adriana Romero -
2021 : Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models »
Boxin Wang · Chejian Xu · Shuohang Wang · Zhe Gan · Yu Cheng · Jianfeng Gao · Ahmed Awadallah · Bo Li -
2021 Poster: G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators »
Yunhui Long · Boxin Wang · Zhuolin Yang · Bhavya Kailkhura · Aston Zhang · Carl Gunter · Bo Li -
2021 Poster: Anti-Backdoor Learning: Training Clean Models on Poisoned Data »
Yige Li · Xixiang Lyu · Nodens Koren · Lingjuan Lyu · Bo Li · Xingjun Ma -
2021 Poster: Adversarial Attack Generation Empowered by Min-Max Optimization »
Jingkang Wang · Tianyun Zhang · Sijia Liu · Pin-Yu Chen · Jiacen Xu · Makan Fardad · Bo Li -
2021 : Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research »
Bernard Koch · Remi Denton · Alex Hanna · Jacob G Foster -
2021 : Reconnaissance Blind Chess + Q&A »
Ryan Gardner · Gino Perrotta · Corey Lowman · Casey Richardson · Andrew Newman · Jared Markowitz · Nathan Drenkow · Bart Paulhamus · Ashley J Llorens · Todd Neller · Raman Arora · Bo Li · Mykel J Kochenderfer -
2021 : Open Catalyst Challenge + Q&A »
Abhishek Das · Muhammed Shuaibi · Siddharth Goyal · Adeesh Kolluru · Janice Lan · Aini Palizhati · Anuroop Sriram · Brandon Wood · Aditya Grover · Devi Parikh · Zachary Ulissi · Larry Zitnick -
2021 Poster: Human-Adversarial Visual Question Answering »
Sasha Sheng · Amanpreet Singh · Vedanuj Goswami · Jose Magana · Tristan Thrush · Wojciech Galuba · Devi Parikh · Douwe Kiela -
2021 Poster: TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness »
Zhuolin Yang · Linyi Li · Xiaojun Xu · Shiliang Zuo · Qian Chen · Pan Zhou · Benjamin Rubinstein · Ce Zhang · Bo Li -
2020 Workshop: Workshop on Dataset Curation and Security »
Nathalie Baracaldo · Yonatan Bisk · Avrim Blum · Michael Curry · John Dickerson · Micah Goldblum · Tom Goldstein · Bo Li · Avi Schwarzschild -
2020 Poster: Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations »
Huan Zhang · Hongge Chen · Chaowei Xiao · Bo Li · Mingyan Liu · Duane Boning · Cho-Jui Hsieh -
2020 Spotlight: Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations »
Huan Zhang · Hongge Chen · Chaowei Xiao · Bo Li · Mingyan Liu · Duane Boning · Cho-Jui Hsieh -
2020 Poster: 3D Shape Reconstruction from Vision and Touch »
Edward Smith · Roberto Calandra · Adriana Romero · Georgia Gkioxari · David Meger · Jitendra Malik · Michal Drozdzal -
2020 Poster: On Convergence of Nearest Neighbor Classifiers over Feature Transformations »
Luka Rimanic · Cedric Renggli · Bo Li · Ce Zhang -
2020 Poster: Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data »
Michael Cogswell · Jiasen Lu · Rishabh Jain · Stefan Lee · Devi Parikh · Dhruv Batra -
2020 : Discussion Panel: Hugo Larochelle, Finale Doshi-Velez, Devi Parikh, Marc Deisenroth, Julien Mairal, Katja Hofmann, Phillip Isola, and Michael Bowling »
Hugo Larochelle · Finale Doshi-Velez · Marc Deisenroth · Devi Parikh · Julien Mairal · Katja Hofmann · Phillip Isola · Michael Bowling -
2019 Poster: Cross-channel Communication Networks »
Jianwei Yang · Zhile Ren · Chuang Gan · Hongyuan Zhu · Devi Parikh -
2019 Poster: ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks »
Jiasen Lu · Dhruv Batra · Devi Parikh · Stefan Lee -
2019 Poster: RUBi: Reducing Unimodal Biases for Visual Question Answering »
Remi Cadene · Corentin Dancette · Hedi Ben younes · Matthieu Cord · Devi Parikh -
2019 Poster: Chasing Ghosts: Instruction Following as Bayesian State Tracking »
Peter Anderson · Ayush Shrivastava · Devi Parikh · Dhruv Batra · Stefan Lee -
2018 Workshop: Visually grounded interaction and language »
Florian Strub · Harm de Vries · Erik Wijmans · Samyak Datta · Ethan Perez · Mateusz Malinowski · Stefan Lee · Peter Anderson · Aaron Courville · Jeremie MARY · Dhruv Batra · Devi Parikh · Olivier Pietquin · Chiori HORI · Tim Marks · Anoop Cherian -
2017 : Panel Discussion »
Felix Hill · Olivier Pietquin · Jack Gallant · Raymond Mooney · Sanja Fidler · Chen Yu · Devi Parikh -
2017 : Towards Embodied Question Answering »
Devi Parikh -
2017 Workshop: Visually grounded interaction and language »
Florian Strub · Harm de Vries · Abhishek Das · Satwik Kottur · Stefan Lee · Mateusz Malinowski · Olivier Pietquin · Devi Parikh · Dhruv Batra · Aaron Courville · Jeremie Mary -
2017 Poster: Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model »
Jiasen Lu · Anitha Kannan · Jianwei Yang · Devi Parikh · Dhruv Batra -
2016 Poster: Hierarchical Question-Image Co-Attention for Visual Question Answering »
Jiasen Lu · Jianwei Yang · Dhruv Batra · Devi Parikh -
2011 Poster: Understanding the Intrinsic Memorability of Images »
Phillip Isola · Devi Parikh · Antonio Torralba · Aude Oliva