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| ===== Students ===== | ===== Students ===== | ||
| - | * Shenghong Dai | + | * Shenghong Dai |
| - | * Tuan Dinh | + | * Tuan Dinh |
| + | * Bhavya Goyal | ||
| ---- | ---- | ||
| ===== Quarterly Updates ===== | ===== Quarterly Updates ===== | ||
| + | |||
| + | |||
| + | ==== May 2022 ==== | ||
| + | === Papers accepted === | ||
| + | |||
| + | * Network Side Digital Contact Tracing on a Large University Campus | ||
| + | Matthew Malloy, Lance Hartung, Steven Wangen, Suman Banerjee | ||
| + | ACM MobiCom, 2022 | ||
| + | |||
| + | *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 | ||
| + | T. Dinh and K. Lee | ||
| + | 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 === | ||
| + | * (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 FairBatch and Coded-InvNet | ||
| + | |||
| ==== Mar 2021 ==== | ==== Mar 2021 ==== | ||
| Line 53: | Line 134: | ||
| === Presentations === | === Presentations === | ||
| * (April 2021) Co-PI Lee's paper "Accordion" is presented at MLSys 2021 | * (April 2021) Co-PI Lee's paper "Accordion" is presented at MLSys 2021 | ||
| + | |||
| * (May 2021) Co-PI Lee's paper "FairBatch" will be presented at ICLR 2021 | * (May 2021) Co-PI Lee's paper "FairBatch" will be presented at ICLR 2021 | ||
| === New preliminary results === | === New preliminary results === | ||
| - | * Shenghong Dai is implementing the mobile learning agents in the vehicle simulator CARLA. | + | * Shenghong Dai is implementing the mobile learning agents in the vehicle simulator CARLA. Her simulator will play a key role in testing the realistic federated learning with mobile agents. |
| - | * Tuan Dinh is working on finalizing the paper on coded computation + invertible neural networks. | + | |
| + | * Tuan Dinh is working on finalizing the paper on coded computation + invertible neural networks. In particular, he is working on the use of his coded computation algorithm for normalized flows for generative learning. | ||
nautilus/start.1618097065.txt.gz · Last modified: 2021/04/10 18:24 by kangwook
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