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| - date: 22. September 2023 | ||
| headline: "NeurIPS 2023: 3 Papers Accepted – 1 Spotlight and 2 Posters. Congratulations to Jinghan, Jiancheng, and Yuguang for their spotlight acceptance with 'Model Sparsity Simplifies Machine Unlearning'. And kudos to Yihua, Yimeng, Aochuan, Jinghan, and Jiancheng for their poster acceptance with 'Selectivity Boosts Transfer Learning Efficiency.'" | ||
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| - date: 31. August 2023 | ||
| headline: "Grateful to receive a grant from Army Research Office (ARO) as the PI." | ||
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| - date: 12. August 2023 | ||
| headline: "Our paper on <a href='https://arxiv.org/abs/2308.10110v1'>Adversarial Training for MoE</a> has been chosen for an Oral Presentation at ICCV'23!" | ||
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| - date: 2. August 2023 | ||
| headline: "Grateful to receive a gift funding from Cisco Research as the PI." | ||
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| - date: 21. July 2023 | ||
| headline: "Call for participation in <a href='https://advml-frontier.github.io/'>2nd AdvML-Frontiers Workshop</a>@ICML'23" | ||
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| - date: 19. July 2023 | ||
| headline: "One paper in ICCV'23 on Adversarial Robustness of Mixture-of-Experts" | ||
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| - date: 29. June 2023 | ||
| headline: "Grateful to receive a CPS Medium Grant Award from NSF as a co-PI." | ||
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| - date: 19. June 2023 | ||
| headline: "Slides of our CVPR'23 tutorial on Reverse Engineering of Deceptions (RED) is now available at the <a href='https://sites.google.com/view/cvpr2023red'>tutorial page</a>. Tutorial recording is available <a href='https://youtu.be/j3bivXEiIm4'>here</a>." | ||
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| - date: 4. June 2023 | ||
| headline: "Our paper <a href='https://arxiv.org/pdf/2210.06284.pdf'>Visual Prompting for Adversarial Robustness</a> received the <a href='https://drive.google.com/file/d/1PHjGXkCUSRJ3pQc4_8BGl_Y5aaRB-Nuw/view'>Top 3% Paper Recognition at ICASSP 2023</a>. Congrats to Aochuan, Peter (internship at OPTML in 2022), Yuguang, and Pin-Yu (IBM Research)!" | ||
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| - date: 24. April 2023 | ||
| headline: "Two papers in <a href='https://icml.cc/'>ICML'23</a> and CFP for <a href='https://advml-frontier.github.io'>2nd AdvML-Frontiers Workshop @ICML'23</a>." | ||
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| - date: 17. April 2023 | ||
| headline: "A new arXiv paper is released: Model Sparsification Can Simplify Machine Unlearning (see <a href='https://arxiv.org/abs/2304.04934'>paper</a> and <a href='https://github.com/OPTML-Group/Unlearn-Sparse'>code</a>)!" | ||
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| - date: 13. April 2023 | ||
| headline: "Grateful to receive a grant from Lawrence Livermore National Laboratory." | ||
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| - date: 1. April 2023 | ||
| headline: "Call for Papers and AdvML Rising Star Award Applications in the workshop <a href='https://advml-frontier.github.io'>AdvML-Frontiers</a>, ICML'23 " | ||
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| - date: 17. March 2023 | ||
| headline: "A new arXiv paper is released: Adversarial attacks can be parsed to reveal victim model information! (see [<a href='https://arxiv.org/pdf/2303.07474.pdf'>Paper</a>])" | ||
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| - date: 17. March 2023 | ||
| headline: "The 2nd Workshop on <a href='https://advml-frontier.github.io/'>New Frontiers in Adversarial Machine Learning</a> has been accepted by ICML'23" | ||
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| - date: 1. March 2023 | ||
| headline: "Grateful to receive a grant from DSO National Laboratories." | ||
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| - date: 27. February 2023 | ||
| headline: "Two papers accepted in CVPR'23." | ||
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| - date: 16. February 2023 | ||
| headline: "Three papers accepted in ICASSP'23." | ||
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| - date: 11. February 2023 | ||
| headline: "CVPR'23 tutorial on Reverse Engineering of Deception: Foundations and Applications is accepted and will be given with Xiaoming Liu (MSU) and Xue Lin (Northeastern)." | ||
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| - date: 09. February 2023 | ||
| headline: "AAAI'23 tutorial on <a href='https://sites.google.com/view/aaai2023tutorial/home'>Bi-level Optimization in ML: Foundations and Applications</a> is now available!" | ||
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| - date: 20. January 2023 | ||
| headline: "Four papers accepted in <a href='https://iclr.cc/'>ICLR 2023</a>: <a href='https://openreview.net/pdf?id=MjsDeTcDEy'>Issues and Fixes in IRM</a>, <a href='https://openreview.net/pdf?id=5tKXUZil3X'>TextGrad: Differentiable Solution to NLP Attack Generation</a>, <a href='https://openreview.net/pdf?id=4UldFtZ_CVF'>Provable Benefits of Sparse GNN</a>, <a href='https://openreview.net/pdf?id=jClGv3Qjhb'>Sample Complexity Analysis of ViT</a>" | ||
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| - date: 17. December 2022 | ||
| headline: "One paper accepted in <a href='https://www.aspdac.com/aspdac2023/'>ASPDAC 2023</a>: <a href='https://arxiv.org/abs/2210.08578'>Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices</a>." | ||
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| - date: 17. December 2022 | ||
| headline: "One paper accepted in <a href='https://saner2023.must.edu.mo/'>SANER 2023</a>: <a href='https://arxiv.org/abs/2211.11711'>Towards Both Robust and Accurate Code Models</a>; Equally contributed by Jinghan Jia (MSU) and Shashank Srikant (MIT)." | ||
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| - date: 23. November 2022 | ||
| headline: "Code Repositories of <a href='https://github.com/OPTML-Group/BiP'>Bi-Level Pruning (NeurIPS'22)</a>, <a href='https://github.com/OPTML-Group/Fairness-Reprogramming'>Fairness Reprogramming (NeurIPS'22)</a>, and <a href='https://github.com/OPTML-Group/ILM-VP'>Visual Prompting by Iterative Label Mapping (arXiv)</a> have been released." | ||
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| - date: 22. November 2022 | ||
| headline: "Dr. Sijia Liu is selected as a presenter of the AAAI 2023 New Faculty Highlight Program." | ||
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| - date: 12. October 2022 | ||
| headline: "Tutorial on <a href='https://sites.google.com/view/neurips2022-frfm-turotial/'>Foundational Robustness of Foundation Models</a> will be given in <a href='https://nips.cc'>NeurIPS'22</a>." | ||
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| - date: 11. October 2022 | ||
| headline: "Tutorial on Bi-level Machine Learning will be given in <a href='https://aaai.org/Conferences/AAAI-23/aaai23tutorials/'>AAAI'23</a>." | ||
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| - date: 14. September 2022 | ||
| headline: "Two papers accpeted in <a href='https://nips.cc'>NeurIPS'22</a>." | ||
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| - date: 2. September 2022 | ||
| headline: "<a href='https://scholar.google.de/citations?user=laq9cq0AAAAJ&hl=en'>Francesco Croce</a> will give an invited talk on test-time defense on Sept. 7th." | ||
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| - date: 31. August 2022 | ||
| headline: "Dr. Sijia Liu is grateful to receive a Robust Intelligence (RI) Core Small Grant Award from NSF as the PI." | ||
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| - date: 4. August 2022 | ||
| headline: Grateful to receive the <b>Best Paper Runner-Up Award</b> at UAI’22 in recognition of our work <a href="https://arxiv.org/pdf/2206.06257.pdf">Distributed Adversarial Training to Robustify Deep Neural Networks at Scale</a>. | ||
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| - date: 16. May 2022 | ||
| headline: One paper accepted in <a href="https://www.auai.org/uai2022/">UAI'22</a>. | ||
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| - date: 15. May 2022 | ||
| headline: "Five papers accepted in <a href='https://icml.cc/'>ICML'22</a> : <a href='https://arxiv.org/pdf/2112.12376.pdf'>Bi-level adversarial training </a>; <a href='https://arxiv.org/pdf/2206.04762.pdf'>Winning lottery tickets from robust pretraining</a>; <a href='https://arxiv.org/pdf/2206.07839.pdf'>Pruning helps certified robustness</a>; <a href='https://arxiv.org/pdf/2112.04468.pdf'>Contrastive learning theory</a>; and Generalization theory of GCN." | ||
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| - date: 20. April 2022 | ||
| headline: One paper accepted in <a href="https://ijcai-22.org/">IJCAI'22</a>. | ||
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| - date: 1. April 2022 | ||
| headline: "CFP: The 1st Workshop on New Frontiers in Adversarial Machine Learning at ICML'22 (<a href='https://advml-frontier.github.io/'>AdvML-Frontiers@ICML'22</a>)." | ||
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| - date: 11. March 2022 | ||
| headline: "Dr. Sijia Liu is grateful to receive a gift funding from <a href='https://research.cisco.com/'>Cisco Research</a> as the PI." | ||
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| - date: 4. March 2022 | ||
| headline: Two papers accepted in <a href="https://cvpr2022.thecvf.com/">CVPR'22</a>. Congratulations to <a href="http://www.yihua-zhang.com">Yihua Zhang</a> for his first CVPR paper! | ||
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| - date: 28. February 2022 | ||
| headline: Aochuan(Arthur) Chen will join us in Fall 2022 -- welcome Arthur! | ||
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| - date: 21. January 2022 | ||
| headline: "Five accepted papers in ICLR'22, <a href='https://openreview.net/pdf?id=gpp7cf0xdfN'>Reverse Engineering of Adversaries</a>, <a href='https://openreview.net/pdf?id=W9G_ImpHlQd'>Black-Box Defense(spotlight)</a>, <a href='https://openreview.net/pdf?id=VqzXzA9hjaX'>Learning to Optimize</a>, <a href='https://openreview.net/pdf?id=qiMXBIf4NfB'>Self-Training Theory</a>, <a href='https://openreview.net/pdf?id=oj2yn1Q4Ett'>Distributed Learning</a>. Congratulations to Yimeng Zhang, Yuguang Yao, Jianghan Jia for their first ICLR papers!" | ||
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| - date: 15. January 2022 | ||
| headline: "Our work on <a href='https://arxiv.org/pdf/2112.12376.pdf'>interpreting and advancing adversarial training via bi-level optimization</a> is now available on arXiv; equally contributed by Yihua Zhang (MSU) and Guanhua Zhang (UCSB)." | ||
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| - date: 15. October 2021 | ||
| headline: Dr. Sijia Liu receives a DARPA IP2 AIE Grant as a Co-PI. | ||
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| - date: 28. September 2021 | ||
| headline: "Five papers accepted in <a href='https://nips.cc/'>NeurIPS'21</a>." | ||
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| - date: 19. May 2021 | ||
| headline: "Our MSU-NEU team (with PI <a href='https://www.cse.msu.edu/~liuxm/index2.html'>Xiaoming Liu</a> and co-PI <a href='https://web.northeastern.edu/xuelin/?page_id=60'>Xue Lin</a>) entered the Phase 2 of DARPA AIE RED." | ||
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| - date: 13. May 2021 | ||
| headline: "One paper accepted in <a href='https://icml.cc'>ICML'21</a>" | ||
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