7 citations · 20 across the 10 of their papers we have counts for
10 papers
BOTracle: A framework for Discriminating Bots and Humans
Jan Kadel, August See, Ritwik Sinha +1
Bots constitute a significant portion of Internet traffic and are a source of various issues across multiple domains. Modern bots often become indistinguishable from real users, as…
A/B testing under Interference with Partial Network Information
Shiv Shankar, Ritwik Sinha, Yash Chandak +2
A/B tests are often required to be conducted on subjects that might have social connections. For e.g., experiments on social media, or medical and social interventions to control t…
SODA: Protecting Proprietary Information in On-Device Machine Learning Models
Akanksha Atrey, Ritwik Sinha, Saayan Mitra +1
The growth of low-end hardware has led to a proliferation of machine learning-based services in edge applications. These applications gather contextual information about users and…
A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models
Ritwik Sinha, Zhao Song, Tianyi Zhou
Large Language Models have become popular for their remarkable capabilities in human-oriented tasks and traditional natural language processing tasks. Its efficient functioning is…
VADER: Video Alignment Differencing and Retrieval
Alexander Black, Simon Jenni, Tu Bui +5
We propose VADER, a spatio-temporal matching, alignment, and change summarization method to help fight misinformation spread via manipulated videos. VADER matches and coarsely alig…
Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform
Akash V. Maharaj, Ritwik Sinha, David Arbour +7
A/B tests are the gold standard for evaluating digital experiences on the web. However, traditional "fixed-horizon" statistical methods are often incompatible with the needs of mod…
Privacy Aware Experiments without Cookies
Shiv Shankar, Ritwik Sinha, Saayan Mitra +3
Consider two brands that want to jointly test alternate web experiences for their customers with an A/B test. Such collaborative tests are today enabled using \textit{third-party c…
Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis
Trisha Mittal, Ritwik Sinha, Viswanathan Swaminathan +2
As tools for content editing mature, and artificial intelligence (AI) based algorithms for synthesizing media grow, the presence of manipulated content across online media is incre…
Bayesian Modeling of Marketing Attribution
Ritwik Sinha, David Arbour, Aahlad Manas Puli
In a multi-channel marketing world, the purchase decision journey encounters many interactions (e.g., email, mobile notifications, display advertising, social media, and so on). Th…
Time-uniform central limit theory and asymptotic confidence sequences
Ian Waudby-Smith, David Arbour, Ritwik Sinha +2
Confidence intervals based on the central limit theorem (CLT) are a cornerstone of classical statistics. Despite being only asymptotically valid, they are ubiquitous because they p…