Merge pull request #103 from cloudflare/vania/updates

Update SundaraRaman2023.md

outreach/academic-programs/interns/daniel-kuijsters.md

@@ -2,7 +2,6 @@
 title: Daniël Kuijsters
 position: Research Intern
 year: 2023
-status: current
 ---
 
 Daniël Kuijsters is a PhD candidate in the Digital Security group of the Radboud University in the Netherlands, advised by Joan Daemen. His research focuses on the design and analysis of symmetric cryptography. At Cloudflare, he works on the benchmarking of post-quantum cryptography.

outreach/academic-programs/interns/josh-brown.md

@@ -2,7 +2,6 @@
 title: Josh Brown
 position: Research Intern
 year: 2023
-status: current
 ---
 
 Josh is an undergraduate at the University of Michigan studying computer science with a focus on cryptography. At Cloudflare, in 2022, Josh worked on RSA threshold signatures. In 2023, Josh will work on VDAFs and Federated learning.

outreach/academic-programs/interns/kyle-hogan.md

@@ -2,7 +2,6 @@
 title: Kyle Hogan
 position: Research Intern
 year: 2023
-status: current
 ---
 
 Kyle is a PhD student at MIT advised by Srini Devadas. Her research focuses on improving privacy and anonymity for real world systems while respecting their functionality and policy constraints. Currently, she is working on alternative definitions for anonymous communication and participating in a W3C group on private advertising.

outreach/academic-programs/interns/pierre-tholoniat.md

@@ -2,7 +2,6 @@
 title: Pierre Tholoniat
 position: Research Intern
 year: 2023
-status: current
 ---
 
 Pierre is a PhD student at Columbia University, advised by Roxana Geambasu. His research is about privacy preserving systems. Lately, he has been working on systems for differential privacy (DP), such as privacy budget schedulers or large-scale training of DP language models.

outreach/academic-programs/interns/weitong-li.md

@@ -2,7 +2,6 @@
 title: Weitong Li
 position: Research Intern
 year: 2023
-status: current
 ---
 
 Weitong is a PhD Student at Virginia Tech advised by Tijay Chung. His research focuses on Internet measurement and security. Currently he is interested in routing security and email security.

outreach/academic-programs/interns/yunfan-zhang.md

@@ -2,7 +2,6 @@
 title: Yunfan Zhang
 position: Research Intern
 year: 2023
-status: current
 ---
 
 Yunfan is a PhD student in Computer Science at Columbia University. His research interests include applying deep learning techniques to computer systems and networking. At Cloudflare, he works on using Language Models to improve bot detection.

publications/SundaraRaman2023.md

@@ -12,7 +12,7 @@ authors:
   - luke-valenta
 doi: 10.1145/3603269.3604875
 related_interests:
-  - internet-measurement
+  - measurement
 ---
 
 In-network devices around the world monitor and tamper with connections for many reasons, including intrusion prevention, combating spam or phishing, and country-level censorship. Connection tampering seeks to block access to specific domain names or keywords, and it affects billions of users worldwide with little-to-no transparency. To detect, diagnose, and measure connection-level blocking, “active” measurement techniques originate queries with domains or keywords believed to be blocked and send them from vantage points within networks of interest. Active measurement efforts have been critical to understanding how traffic tampering occurs, but they inherently are unable to capture critical parts of the picture. For instance, knowing the set of domains in a block-list (i.e., what could get blocked) is not the same as knowing what real users are actively experiencing (i.e., what is actively getting blocked).