More from the Same Authors

• 2022 : Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning »
  Yuxin Wen · Jonas Geiping · Liam Fowl · Hossein Souri · Rama Chellappa · Micah Goldblum · Tom Goldstein
• 2022 : Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch »
  Hossein Souri · Liam Fowl · Rama Chellappa · Micah Goldblum · Tom Goldstein
• 2022 : How much Data is Augmentation Worth? »
  Jonas Geiping · Gowthami Somepalli · Ravid Shwartz-Ziv · Andrew Wilson · Tom Goldstein · Micah Goldblum
• 2022 : Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Prior »
  Ravid Shwartz-Ziv · Micah Goldblum · Hossein Souri · Sanyam Kapoor · Chen Zhu · Yann LeCun · Andrew Wilson
• 2023 : Cramming: Training a Language Model on a single GPU in one day »
  Jonas Geiping · Tom Goldstein
• 2023 : Understanding Data Replication in Diffusion Models »
  Gowthami Somepalli · Vasu Singla · Micah Goldblum · Jonas Geiping · Tom Goldstein
• 2023 Oral: A Watermark for Large Language Models »
  John Kirchenbauer · Jonas Geiping · Yuxin Wen · Jonathan Katz · Ian Miers · Tom Goldstein
• 2023 Poster: GOAT: A Global Transformer on Large-scale Graphs »
  Kezhi Kong · Jiuhai Chen · John Kirchenbauer · Renkun Ni · C. Bayan Bruss · Tom Goldstein
• 2023 Poster: A Watermark for Large Language Models »
  John Kirchenbauer · Jonas Geiping · Yuxin Wen · Jonathan Katz · Ian Miers · Tom Goldstein
• 2023 Poster: Cramming: Training a Language Model on a single GPU in one day. »
  Jonas Geiping · Tom Goldstein
• 2022 : Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Prior »
  Ravid Shwartz-Ziv · Micah Goldblum · Hossein Souri · Sanyam Kapoor · Chen Zhu · Yann LeCun · Andrew Wilson
• 2022 Poster: Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations »
  Amin Ghiasi · Hamid Kazemi · Steven Reich · Chen Zhu · Micah Goldblum · Tom Goldstein
• 2022 Poster: Bayesian Model Selection, the Marginal Likelihood, and Generalization »
  Sanae Lotfi · Pavel Izmailov · Gregory Benton · Micah Goldblum · Andrew Wilson
• 2022 Oral: Bayesian Model Selection, the Marginal Likelihood, and Generalization »
  Sanae Lotfi · Pavel Izmailov · Gregory Benton · Micah Goldblum · Andrew Wilson
• 2022 Spotlight: Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations »
  Amin Ghiasi · Hamid Kazemi · Steven Reich · Chen Zhu · Micah Goldblum · Tom Goldstein
• 2022 Poster: Certified Neural Network Watermarks with Randomized Smoothing »
  Arpit Bansal · Ping-yeh Chiang · Michael Curry · Rajiv Jain · Curtis Wigington · Varun Manjunatha · John P Dickerson · Tom Goldstein
• 2022 Spotlight: Certified Neural Network Watermarks with Randomized Smoothing »
  Arpit Bansal · Ping-yeh Chiang · Michael Curry · Rajiv Jain · Curtis Wigington · Varun Manjunatha · John P Dickerson · Tom Goldstein
• 2022 Poster: Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification »
  Yuxin Wen · Jonas Geiping · Liam Fowl · Micah Goldblum · Tom Goldstein
• 2022 Spotlight: Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification »
  Yuxin Wen · Jonas Geiping · Liam Fowl · Micah Goldblum · Tom Goldstein
• 2021 Workshop: ICML Workshop on Representation Learning for Finance and E-Commerce Applications »
  Senthil Kumar · Sameena Shah · Joan Bruna · Tom Goldstein · Erik Mueller · Oleg Rokhlenko · Hongxia Yang · Jianpeng Xu · Oluwatobi O Olabiyi · Charese Smiley · C. Bayan Bruss · Saurabh H Nagrecha · Svitlana Vyetrenko
• 2021 Poster: Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks »
  Avi Schwarzschild · Micah Goldblum · Arjun Gupta · John P Dickerson · Tom Goldstein
• 2021 Poster: Data Augmentation for Meta-Learning »
  Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
• 2021 Spotlight: Data Augmentation for Meta-Learning »
  Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
• 2021 Spotlight: Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks »
  Avi Schwarzschild · Micah Goldblum · Arjun Gupta · John P Dickerson · Tom Goldstein
• 2020 Poster: Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness »
  Aounon Kumar · Alexander Levine · Tom Goldstein · Soheil Feizi
• 2020 Poster: Certified Data Removal from Machine Learning Models »
  Chuan Guo · Tom Goldstein · Awni Hannun · Laurens van der Maaten
• 2020 Poster: Adversarial Attacks on Copyright Detection Systems »
  Parsa Saadatpanah · Ali Shafahi · Tom Goldstein
• 2020 Poster: Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks »
  Micah Goldblum · Steven Reich · Liam Fowl · Renkun Ni · Valeriia Cherepanova · Tom Goldstein
• 2020 Poster: The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent »
  Karthik Abinav Sankararaman · Soham De · Zheng Xu · W. Ronny Huang · Tom Goldstein
• 2019 Poster: Transferable Clean-Label Poisoning Attacks on Deep Neural Nets »
  Chen Zhu · W. Ronny Huang · Hengduo Li · Gavin Taylor · Christoph Studer · Tom Goldstein
• 2019 Oral: Transferable Clean-Label Poisoning Attacks on Deep Neural Nets »
  Chen Zhu · W. Ronny Huang · Hengduo Li · Gavin Taylor · Christoph Studer · Tom Goldstein
• 2018 Poster: Linear Spectral Estimators and an Application to Phase Retrieval »
  Ramina Ghods · Andrew Lan · Tom Goldstein · Christoph Studer
• 2018 Oral: Linear Spectral Estimators and an Application to Phase Retrieval »
  Ramina Ghods · Andrew Lan · Tom Goldstein · Christoph Studer
• 2017 Poster: Adaptive Consensus ADMM for Distributed Optimization »
  Zheng Xu · Gavin Taylor · Hao Li · Mario Figueiredo · Xiaoming Yuan · Tom Goldstein
• 2017 Talk: Adaptive Consensus ADMM for Distributed Optimization »
  Zheng Xu · Gavin Taylor · Hao Li · Mario Figueiredo · Xiaoming Yuan · Tom Goldstein
• 2017 Poster: Convex Phase Retrieval without Lifting via PhaseMax »
  Tom Goldstein · Christoph Studer
• 2017 Talk: Convex Phase Retrieval without Lifting via PhaseMax »
  Tom Goldstein · Christoph Studer