Dickerson, John
- Adversarial Training for Free!
2019/04/29 by Shafahi, Ali, Najibi, Mahyar, Ghiasi, Amin +6 · 33 citations
#Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Universal Adversarial Training
2018/11/27 by Shafahi, Ali, Najibi, Mahyar, Xu, Zheng +3 · 8 citations
#Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
2021/01/20 by Cherepanova, Valeriia, Goldblum, Micah, Foley, Harrison +4 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Counterfactual Explanations for Machine Learning: Challenges Revisited
2021/06/14 by Verma, Sahil, Dickerson, John, Hines, Keegan · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Detection as Regression: Certified Object Detection by Median Smoothing
2020/07/07 by Ping-yeh Chiang, Chiang, Ping-yeh, Michael J. Curry +9 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
2021/10/07 by Naveen Raman, Sanket Shah, Raman, Naveen +4 · 2 citations
Engineering · Business, Management and Accounting · Social Sciences · #Transportation and Mobility Innovations #Sharing Economy and Platforms #Urban Transport and Accessibility
- Fair Polylog-Approximate Low-Cost Hierarchical Clustering
2023/11/21 by Knittel, Marina, Springer, Max, Dickerson, John +1 · 2 citations
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning Revenue-Maximizing Auctions With Differentiable Matching
2021/06/15 by Curry, Michael J., Lyi, Uro, Goldstein, Tom +1 · 1 citation
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Differentiable Economics for Randomized Affine Maximizer Auctions
2022/02/06 by Curry, Michael, Sandholm, Tuomas, Dickerson, John · 1 citation
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Economics and business #General Economics (econ.GN) #Machine Learning (cs.LG)
- Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective
2023/03/23 by Schwarzschild, Avi, Cembalest, Max, Rao, Karthik +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Fair Clustering: Critique, Caveats, and Future Directions
2024/06/22 by J.W.T. Dickerson, Seyed A. Esmaeili, Dickerson, John +5 · 2 citations
Business, Management and Accounting · Social Sciences · #Business Strategy and Innovation #Qualitative Comparative Analysis Research