More from the Same Authors

• 2020 : An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process »
  David Tran · Alex Valtchanov · Keshav R Ganapathy · Raymond Feng · Eric Slud · Micah Goldblum · Tom Goldstein
• 2021 : Execute Order 66: Targeted Data Poisoning for Reinforcement Learning via Minuscule Perturbations »
  Harrison Foley · Liam Fowl · Tom Goldstein · Gavin Taylor
• 2022 : Investigating Reproducibility from the Decision Boundary Perspective. »
  Gowthami Somepalli · Arpit Bansal · Liam Fowl · Ping-yeh Chiang · Yehuda Dar · Richard Baraniuk · Micah Goldblum · Tom Goldstein
• 2022 : A Deep Dive into Dataset Imbalance and Bias in Face Identification »
  Valeriia Cherepanova · Steven Reich · Samuel Dooley · Hossein Souri · John Dickerson · Micah Goldblum · Tom Goldstein
• 2022 : SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training »
  Gowthami Somepalli · Avi Schwarzschild · Micah Goldblum · C. Bayan Bruss · Tom Goldstein
• 2022 : Transfer Learning with Deep Tabular Models »
  Roman Levin · Valeriia Cherepanova · Avi Schwarzschild · Arpit Bansal · C. Bayan Bruss · Tom Goldstein · Andrew Wilson · Micah Goldblum
• 2022 : A Deep Dive into Dataset Imbalance and Bias in Face Identification »
  Valeriia Cherepanova · Steven Reich · Samuel Dooley · Hossein Souri · John Dickerson · Micah Goldblum · Tom Goldstein
• 2022 : A Deep Dive into Dataset Imbalance and Bias in Face Identification »
  Valeriia Cherepanova · Steven Reich · Samuel Dooley · Hossein Souri · John Dickerson · Micah Goldblum · Tom Goldstein
• 2022 : Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries »
  Yuxin Wen · Arpit Bansal · Hamid Kazemi · Eitan Borgnia · Micah Goldblum · Jonas Geiping · Tom Goldstein
• 2022 : Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation »
  Hong-Min Chu · Jonas Geiping · Liam Fowl · Micah Goldblum · Tom Goldstein
• 2022 : Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models »
  Liam Fowl · Jonas Geiping · Steven Reich · Yuxin Wen · Wojciech Czaja · Micah Goldblum · Tom Goldstein
• 2022 : DP-InstaHide: Data Augmentations Provably Enhance Guarantees Against Dataset Manipulations »
  Eitan Borgnia · Jonas Geiping · Valeriia Cherepanova · Liam Fowl · Arjun Gupta · Amin Ghiasi · Furong Huang · Micah Goldblum · Tom Goldstein
• 2022 : Transfer Learning with Deep Tabular Models »
  Roman Levin · Valeriia Cherepanova · Avi Schwarzschild · Arpit Bansal · C. Bayan Bruss · Tom Goldstein · Andrew Wilson · Micah Goldblum
• 2022 Poster: Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability »
  Roman Levin · Manli Shu · Eitan Borgnia · Furong Huang · Micah Goldblum · Tom Goldstein
• 2022 Poster: Robustness Disparities in Face Detection »
  Samuel Dooley · George Z Wei · Tom Goldstein · John Dickerson
• 2022 Poster: Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models »
  Manli Shu · Weili Nie · De-An Huang · Zhiding Yu · Tom Goldstein · Anima Anandkumar · Chaowei Xiao
• 2022 Poster: Autoregressive Perturbations for Data Poisoning »
  Pedro Sandoval-Segura · Vasu Singla · Jonas Geiping · Micah Goldblum · Tom Goldstein · David Jacobs
• 2022 Poster: Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch »
  Hossein Souri · Liam Fowl · Rama Chellappa · Micah Goldblum · Tom Goldstein
• 2022 Poster: End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking »
  Arpit Bansal · Avi Schwarzschild · Eitan Borgnia · Zeyad Emam · Furong Huang · Micah Goldblum · Tom Goldstein
• 2020 : The Intrinsic Dimension of Images and Its Impact on Learning »
  Chen Zhu · Micah Goldblum · Ahmed Abdelkader · Tom Goldstein · Phillip Pope
• 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: Detection as Regression: Certified Object Detection with Median Smoothing »
  Ping-yeh Chiang · Michael Curry · Ahmed Abdelkader · Aounon Kumar · John Dickerson · Tom Goldstein
• 2020 Poster: Certifying Confidence via Randomized Smoothing »
  Aounon Kumar · Alexander Levine · Soheil Feizi · Tom Goldstein
• 2020 Poster: Adversarially Robust Few-Shot Learning: A Meta-Learning Approach »
  Micah Goldblum · Liam Fowl · Tom Goldstein
• 2020 Poster: MetaPoison: Practical General-purpose Clean-label Data Poisoning »
  W. Ronny Huang · Jonas Geiping · Liam Fowl · Gavin Taylor · Tom Goldstein
• 2020 Poster: Certifying Strategyproof Auction Networks »
  Michael Curry · Ping-yeh Chiang · Tom Goldstein · John Dickerson
• 2019 Poster: Adversarial training for free! »
  Ali Shafahi · Mahyar Najibi · Mohammad Amin Ghiasi · Zheng Xu · John Dickerson · Christoph Studer · Larry Davis · Gavin Taylor · Tom Goldstein
• 2018 Poster: Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks »
  Ali Shafahi · W. Ronny Huang · Mahyar Najibi · Octavian Suciu · Christoph Studer · Tudor Dumitras · Tom Goldstein
• 2018 Poster: Visualizing the Loss Landscape of Neural Nets »
  Hao Li · Zheng Xu · Gavin Taylor · Christoph Studer · Tom Goldstein
• 2017 : Closing Panel: Analyzing brain data from nano to macroscale »
  William Gray Roncal · Eva Dyer
• 2017 : Panel on "What neural systems can teach us about building better machine learning systems" »
  Timothy Lillicrap · James J DiCarlo · Christopher Rozell · Viren Jain · Nathan Kutz · William Gray Roncal · Bingni Brunton
• 2017 : Opening Remarks »
  Eva Dyer · William Gray Roncal
• 2017 Workshop: BigNeuro 2017: Analyzing brain data from nano to macroscale »
  Eva Dyer · Gregory Kiar · William Gray Roncal · · Konrad P Koerding · Joshua T Vogelstein
• 2017 Poster: Training Quantized Nets: A Deeper Understanding »
  Hao Li · Soham De · Zheng Xu · Christoph Studer · Hanan Samet · Tom Goldstein
• 2015 : Convolutional Dictionary Learning through Tensor Factorization »
  Furong Huang
• 2015 Poster: Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing »
  Tom Goldstein · Min Li · Xiaoming Yuan
• 2012 Poster: Learning Mixtures of Tree Graphical Models »
  Anima Anandkumar · Daniel Hsu · Furong Huang · Sham M Kakade