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nautilus:start [2021/07/01 13:33]
kangwook
nautilus:start [2022/05/18 09:38]
suman
Line 14: Line 14:
  
 ===== Students ===== ===== Students =====
-* Shenghong Dai +  ​* Shenghong Dai 
-* Tuan Dinh+  * Tuan Dinh 
 +  * Bhavya Goyal
  
 ---- ----
Line 21: Line 22:
 ===== Quarterly Updates ===== ===== Quarterly Updates =====
  
-==== After Mar 2021 ==== 
  
 +==== May 2022 ====
 === Papers accepted === === Papers accepted ===
 +*Breaking Fair Binary Classification with Optimal Flipping Attacks
 +C. Jo, J. Sohn, and K. Lee
 +ISIT 2022
 +
 +*Debiasing Pre-Trained Language Models via Efficient Fine-tuning
 +M. Gira, R. Zhang, and K. Lee
 +ACL Workshop on Language Technology for Equality, Diversity, Inclusion 2022
 +
 +*Federated Unsupervised Clustering with Generative Models
 +J. Chung, K. Lee, and K. Ramchandran
 +AAAI Workshop on Federated Learning 2022
 +
 +*Improving Fairness via Federated Learning
 +Y. Zeng, H. Chen, and K. Lee
 +AAAI Workshop on Federated Learning 2022
 +
 + ​Geometric Calibration of Single-Pixel Distance Sensors ​
 +Carter Sifferman, Mohit Gupta, Michael Gleicher ​
 +Robotics and Automation Letters (RAL); ​ IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022
 +
 +* Single-Photon Structured Light 
 +Varun Sundar, A Sankaranarayanan,​ Mohit Gupta 
 +Proc. IEEE CVPR 2022
 +
 +* Compressive Single-Photon 3D Cameras ​
 +Felipe Gutierrez-Barragan,​ Atul Ingle, T Seets, Mohit Gupta, Andreas Velten ​
 +Proc. IEEE CVPR 2022
 +
 +* Single-Photon Camera Guided Extreme Dynamic Range Imaging ​
 +Yuhao Liu, Felipe Gutierrez-Barragan,​ Atul Ingle, Mohit Gupta, Andreas Velten ​
 +IEEE Winter Conference on Applications of Computer Vision (WACV 2022)
 +
 +
 +==== Oct 2021 ====
 +=== Papers accepted ===
 +Sample Selection for Fair and Robust Training ​
 +Y. Roh, K. Lee, S. Whang, and C. Suh, NeurIPS 2021.
 +
 +Gradient Inversion with Generative Image Prior
 +J. Kim, J. Jeon, K. Lee, S. Oh, and J. Ok, NeurIPS 2021.
 +
 +A General Framework For Detecting Anomalous Inputs to DNN Classifiers
 +J Raghuram, V Chandrasekaran,​ S Jha, S Banerjee,
 +International Conference on Machine Learning, 2021.
 +
 +All Roads Lead to Rome: An MPTCP-Aware Layer-4 Load Balancer
 +Y Zeng, M Buddhikot, S Banerjee
 +IFIP Networking Conference (IFIP Networking),​ 2021.
 +
 +==== July 2021 ====
 +
 +=== Papers accepted ==
 +*  S. Ahmed, I. Shumailov, N. Papernot, and K. Fawaz, Towards More Robust Keyword Spotting for Voice Assistants, in 31st USENIX Security Symposium ​ (USENIX Security 2022), Accepted.
 +
 +* Photon Starved Scene Inference using Single-Photon Cameras.
 +Bhavya Goyal and Mohit Gupta.
 + Proc. IEEE International Conference on Computer Vision (ICCV 2021).
  
 * Coded-InvNet for Resilient Prediction Serving Systems * Coded-InvNet for Resilient Prediction Serving Systems
Line 29: Line 87:
 ICML 2021 (long oral) ICML 2021 (long oral)
  
 +* Powercut and obfuscator: An exploration of the design space for privacy-preserving interventions for smart speakers.
 +V. Chandrasekaran,​ S. Banerjee, B. Mutlu, and K. Fawaz. In Seventeenth Symposium on Usable Privacy and Security (SOUPS 2021). USENIX Association,​ Aug. 2021. [Online]. Available: https://​www.usenix.org/​conference/​soups2021/​presentation/​chandrasekaran
  
 + 
 === Presentations === === Presentations ===
-* (June 2021) Co-PI Lee gave an invited talk @ AI institute of POSTECH on Coded-InvNet ​for Resilient Prediction Serving Systems+* (June 2021) Co-PI Lee gave an invited talk @ AI institute of POSTECH on FairBatch and Coded-InvNet
  
-* (June 2021) Co-PI Lee gave an invited talk at the Shannon meets Turing Colloquium @ Seoul National University on Coded-InvNet ​for Resilient Prediction Serving Systems+* (June 2021) Co-PI Lee gave an invited talk at the Shannon meets Turing Colloquium @ Seoul National University on FairBatch and Coded-InvNet
  
  
nautilus/start.txt · Last modified: 2022/05/18 09:40 by suman