Samuel Dooley

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Face Recognition

Top Venues

USENIX Security Symposium

Publications

Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Siddartha Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
LiveBench: A Challenging, Contamination-Free LLM Benchmark. CoRR (2024)
Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine M. Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
Large Language Models Must Be Taught to Know What They Don't Know. CoRR (2024)
Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Samuel Dooley, Josif Grabocka, Frank Hutter
Multi-objective Differentiable Neural Architecture Search. CoRR (2024)
Arka Pal, Deep Karkhanis, Samuel Dooley, Manley Roberts, Siddartha Naidu, Colin White
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive. CoRR (2024)
Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination. ICLR (2024)
Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha Naidu, Colin White
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting. CoRR (2023)
Arka Pal, Deep Karkhanis, Manley Roberts, Samuel Dooley, Arvind Sundararajan, Siddartha Naidu
Giraffe: Adventures in Expanding Context Lengths in LLMs. CoRR (2023)
Alan F. Luo, Noel Warford, Samuel Dooley, Rachel Greenstadt, Michelle L. Mazurek, Nora McDonald
How Library IT Staff Navigate Privacy and Security Challenges and Responsibilities. USENIX Security Symposium (2023)
Richeek Das, Samuel Dooley
Fairer and More Accurate Tabular Models Through NAS. CoRR (2023)
Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
Data Contamination Through the Lens of Time. CoRR (2023)
Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein
A Deep Dive into Dataset Imbalance and Bias in Face Identification. AIES (2023)
Samuel Dooley, Gurnoor Singh Khurana, Chirag Mohapatra, Siddartha V. Naidu, Colin White
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting. NeurIPS (2023)
Samuel Dooley, Rhea Sukthanker, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition. NeurIPS (2023)
Marina Knittel, Samuel Dooley, John P. Dickerson
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. IJCAI (2022)
Samuel Dooley, George Z. Wei, Tom Goldstein, John P. Dickerson
Are Commercial Face Detection Models as Biased as Academic Models? CoRR (2022)
Rhea Sukthanker, Samuel Dooley, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum
On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition. CoRR (2022)
Michael Rawson, Samuel Dooley, Mithun Bharadwaj, Rishabh Choudhary
Topological Data Analysis for Word Sense Disambiguation. CoRR (2022)
Marina Knittel, Samuel Dooley, John P. Dickerson
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. CoRR (2022)
Samuel Dooley
How Technology Impacts and Compares to Humans in Socially Consequential Arenas. CoRR (2022)
Samuel Dooley, Dana Turjeman, John P. Dickerson, Elissa M. Redmiles
Field Evidence of the Effects of Privacy, Data Transparency, and Pro-social Appeals on COVID-19 App Attractiveness. CHI (2022)
Angelica Goetzen, Samuel Dooley, Elissa M. Redmiles
Ctrl-Shift: How Privacy Sentiment Changed from 2019 to 2021. Proc. Priv. Enhancing Technol. 2022 (4) (2022)
Samuel Dooley, George Z. Wei, Tom Goldstein, John Dickerson
Robustness Disparities in Face Detection. NeurIPS (2022)
Samuel Dooley, George Z. Wei, Tom Goldstein, John P. Dickerson
Robustness Disparities in Face Detection. CoRR (2022)
Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, Micah Goldblum, Tom Goldstein
A Deep Dive into Dataset Imbalance and Bias in Face Identification. CoRR (2022)
Neehar Peri, Michael J. Curry, Samuel Dooley, John P. Dickerson
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. CoRR (2021)
Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. FAccT (2021)
Samuel Dooley, Tom Goldstein, John P. Dickerson
Robustness Disparities in Commercial Face Detection. CoRR (2021)
Samuel Dooley, Ryan Downing, George Z. Wei, Nathan Shankar, Bradon Thymes, Gudrun Thorkelsdottir, Tiye Kurtz-Miott, Rachel Mattson, Olufemi Obiwumi, Valeriia Cherepanova, Micah Goldblum, John P. Dickerson, Tom Goldstein
Comparing Human and Machine Bias in Face Recognition. CoRR (2021)
Angelica Goetzen, Samuel Dooley, Elissa M. Redmiles
Ctrl-Shift: How Privacy Sentiment Changed from 2019 to 2021. CoRR (2021)
Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. NeurIPS (2021)
Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. CoRR (2020)
Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-Yeh Chiang, Tom Goldstein, John P. Dickerson
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning. CoRR (2020)
Samuel Dooley, John P. Dickerson
The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers. CoRR (2020)
Duncan C. McElfresh, Samuel Dooley, Yuan Cui, Kendra Griesman, Weiqin Wang, Tyler Will, Neil Sehgal, John P. Dickerson
Can an Algorithm be My Healthcare Proxy? CoRR (2020)
Eliza Mace, Keith Manville, Monica Barbu-McInnis, Michael Laielli, Matthew Klaric, Samuel Dooley
Overhead Detection: Beyond 8-bits and RGB. CoRR (2018)
Darius Lam, Richard Kuzma, Kevin McGee, Samuel Dooley, Michael Laielli, Matthew Klaric, Yaroslav Bulatov, Brendan McCord
xView: Objects in Context in Overhead Imagery. CoRR (2018)