Added new publications and news for Yi

Author: Adanato

public/safetysecurityalignment.gif

@@ -4,6 +4,10 @@ interface NewsItem {
 }
 
 const recentNews: NewsItem[] = [
+  {
+    date: "January 2025",
+    content: "Congrats Yi for receiving the Blackwell Graduate Research Paper award!"
+  },
   {
     date: "September 2024",
     content: "Our 3 papers got accepted to NeurIPS, 2024: 'Fairness-Aware Meta-Learning via Nash Bargaining', 'Boosting Alignment for Post-Unlearning Text-to-Image Generative Models' and 'Compute-efficient LLM Training via Online Batch Selection'"

src/assets/content/News/news.ts

@@ -160,7 +160,7 @@ export const peopleData: PeopleGroup[] = [
         details: "MS student, 2022-2023. (Next: PhD student at Virginia Tech)",
         links: {
           website: "https://nikhilsab.github.io/",
-          linkedin: "https://www.linkedin.com/in/nikhil-abhyankar/"
+          linkedin: "https://www.linkedin.com/in/nikhil-abhyanksar/"
         }
       }
     ]

src/assets/content/People/People.ts

@@ -1,4 +1,11 @@
 const publications = [
+  {
+    title: "Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion",
+    authors: "Si Chen, Feiyang Kang, Nikhil Abhyankar, Ming Jin, Ruoxi Jia",
+    conference: "Transactions on Machine Learning Research (TMLR), 2024",
+    openreview: "https://openreview.net/forum?id=VqzKim4Pd0",
+    highlights: []
+  },
     {
       title: "Fairness-Aware Meta-Learning via Nash Bargaining",
       authors: "Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael Jordan, Ruoxi Jia",

src/assets/content/Publications/2024pubs.ts

@@ -0,0 +1,61 @@
+const publications = [
+  {
+    "title": "Data Shapley in One Training Run",
+    "authors": "Jiachen T. Wang, Prateek Mittal, Dawn Song, Ruoxi Jia",
+    "conference": "The Thirteenth International Conference on Learning Representations (ICLR), 2025",
+    "arxiv": "https://arxiv.org/abs/2406.11011",
+    "highlights": []
+  },
+  {
+    "title": "LLMs Can Plan Only If We Tell Them",
+    "authors": "Bilgehan Sel, Ruoxi Jia, Ming Jin",
+    "conference": "The Thirteenth International Conference on Learning Representations (ICLR), 2025",
+    "arxiv": "",
+    "highlights": []
+  },
+  {
+    "title": "Capturing the Temporal Dependence of Training Data Influence",
+    "authors": "Jiachen T. Wang, Dawn Song, James Zou, Prateek Mittal, Ruoxi Jia",
+    "conference": "The Thirteenth International Conference on Learning Representations (ICLR), 2025",
+    "arxiv": "https://arxiv.org/abs/2412.09538",
+    "highlights": []
+  },
+  {
+    "title": "AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories",
+    "authors": "Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li",
+    "conference": "The Thirteenth International Conference on Learning Representations (ICLR), 2025",
+    "arxiv": "https://arxiv.org/abs/2407.17436",
+    "highlights": []
+  },
+  {
+    "title": "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal",
+    "authors": "Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal",
+    "conference": "The Thirteenth International Conference on Learning Representations (ICLR), 2025",
+    "arxiv": "https://arxiv.org/abs/2406.14598",
+    "highlights": []
+  },
+  {
+    "title": "Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data",
+    "authors": "Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar Vullikanti, Sheng Li",
+    "conference": "The Thirteenth International Conference on Learning Representations (ICLR), 2025",
+    "arxiv": "",
+    "highlights": []
+  },
+  {
+    "title": "DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking",
+    "authors": "Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia",
+    "conference": "Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL) Findings, 2025",
+    "arxiv": "https://arxiv.org/abs/2409.06241",
+    "highlights": []
+  },
+  {
+    "title": "Data Acquisition: A New Frontier in Data-centric AI",
+    "authors": "Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou",
+    "conference": "Transactions on Machine Learning Research (TMLR), 2025",
+    "arxiv": "https://openreview.net/forum?id=5ARbfIHxtk",
+    "highlights": []
+  }
+  
+    ];
+    
+    export default publications;