3 citations · 4 across the 5 of their papers we have counts for
5 papers
Homomorphic Encryptions for Privacy Preserving Vision
Preey Shah, Rohan Virani, Sanjari Srivastava
Legal requirements might prevent organizations from sharing sensitive data like medical or financial details of consumers which prevents them from leveraging cloud based ML-as-a-se…
WARC-Bench: Web Archive Based Benchmark for GUI Subtask Executions
Sanjari Srivastava, Gang Li, Cheng Chang +8
Training web agents to navigate complex, real-world websites requires them to master - short-horizon interactions on multiple UI components (e.g., choosing the…
Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents
Yu Gu, Kai Zhang, Yuting Ning +9
Language agents based on large language models (LLMs) have demonstrated great promise in automating web-based tasks. Recent work has shown that incorporating advanced planning algo…
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning
Sanjari Srivastava, Piotr Mardziel, Zhikhun Zhang +3
Fairness and privacy are two important values machine learning (ML) practitioners often seek to operationalize in models. Fairness aims to reduce model bias for social/demographic…
LMPriors: Pre-Trained Language Models as Task-Specific Priors
Kristy Choi, Chris Cundy, Sanjari Srivastava +1
Particularly in low-data regimes, an outstanding challenge in machine learning is developing principled techniques for augmenting our models with suitable priors. This is to encour…