activity
20152026
most citedACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning

50 citations · 128 across the 18 of their papers we have counts for

collaborators

20 papers

cs.CL2026

SpiderGen: Towards Procedure Generation For Carbon Life Cycle Assessments with Generative AI

Anupama Sitaraman, Bharathan Balaji, Yuvraj Agarwal

Investigating the effects of climate change and global warming caused by GHG emissions have been a key concern worldwide. These emissions are largely contributed to by the producti…

cs.NI2024

Network Function Capacity Reconnaissance by Remote Adversaries

Aqsa Kashaf, Aidan Walsh, Maria Apostolaki +2

There is anecdotal evidence that attackers use reconnaissance to learn the capacity of their victims before DDoS attacks to maximize their impact. The first step to mitigate capaci…

cs.CR2022★ 1 cited

Peekaboo: A Hub-Based Approach to Enable Transparency in Data Processing within Smart Homes (Extended Technical Report)

Haojian Jin, Gram Liu, David Hwang +3

We present Peekaboo, a new privacy-sensitive architecture for smart homes that leverages an in-home hub to pre-process and minimize outgoing data in a structured and enforceable ma…

cs.CR2022★ 1 cited

Self-Serviced IoT: Practical and Private IoT Computation Offloading with Full User Control

Dohyun Kim, Prasoon Patidar, Han Zhang +2

The rapid increase in the adoption of Internet-of-Things (IoT) devices raises critical privacy concerns as these devices can access a variety of sensitive data. The current status…

cs.CR2021

Analysis of Longitudinal Changes in Privacy Behavior of Android Applications

Alexander Yu, Yuvraj Agarwal, Jason I. Hong

Privacy concerns have long been expressed around smart devices, and the concerns around Android apps have been studied by many past works. Over the past 10 years, we have crawled a…

cs.CR2021★ 2 cited

The Design of the User Interfaces for Privacy Enhancements for Android

Jason I. Hong, Yuvraj Agarwal, Matt Fredrikson +22

We present the design and design rationale for the user interfaces for Privacy Enhancements for Android (PE for Android). These UIs are built around two core ideas, namely that dev…

cs.HC2020★ 32 cited

Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps

Tianshi Li, Jackie, Yang +5

Contact-tracing apps have potential benefits in helping health authorities to act swiftly to halt the spread of COVID-19. However, their effectiveness is heavily dependent on their…

cs.CY2020

Ask the Experts: What Should Be on an IoT Privacy and Security Label?

Pardis Emami-Naeini, Yuvraj Agarwal, Lorrie Faith Cranor +1

Information about the privacy and security of Internet of Things (IoT) devices is not readily available to consumers who want to consider it before making purchase decisions. While…

cs.HC2019★ 2 cited

Real World Longitudinal iOS App Usage Study at Scale

Dohyun Kim, Joshua Gluck, Malcolm Hall +1

Given the importance of understanding the interaction between mobile devices and their users, app usage patterns have been studied in various contexts. However, prior work has not…

eess.SY2019★ 50 cited

ACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal +1

Internet of Things forms the backbone of modern building applications. Wireless sensors are being increasingly adopted for their flexibility and reduced cost of deployment. However…

cs.NI2018

Pible: Battery-Free Mote for Perpetual Indoor BLE Applications

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal +2

Smart building applications require a large-scale deployment of sensors distributed across the environment. Recent innovations in smart environments are driven by wireless networke…

cs.IR2018

Automated Extraction of Personal Knowledge from Smartphone Push Notifications

Yuanchun Li, Ziyue Yang, Yao Guo +3

Personalized services are in need of a rich and powerful personal knowledge base, i.e. a knowledge base containing information about the user. This paper proposes an approach to ex…

cs.NI2018

Oh, What a Fragile Web We Weave: Third-party Service Dependencies In Modern Webservices and Implications

Aqsa Kashaf, Carolina Zarate, Hanrou Wang +2

The recent October 2016 DDoS attack on Dyn served as a wakeup call to the security community as many popular and independent webservices (e.g., Twitter, Spotify) were impacted. Thi…

stat.ML2017

Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis

Pooyan Jamshidi, Norbert Siegmund, Miguel Velez +3

Modern software systems provide many configuration options which significantly influence their non-functional properties. To understand and predict the effect of configuration opti…

cs.CR2017★ 13 cited

PrivacyProxy: Leveraging Crowdsourcing and In Situ Traffic Analysis to Detect and Mitigate Information Leakage

Gaurav Srivastava, Kunal Bhuwalka, Swarup Kumar Sahoo +5

Many smartphone apps transmit personally identifiable information (PII), often without the users knowledge. To address this issue, we present PrivacyProxy, a system that monitors o…

eess.SY2017★ 2 cited

A Systematic Approach for Exploring Tradeoffs in Predictive HVAC Control Systems for Buildings

Joshua Gluck, Christian Koehler, Jennifer Mankoff +2

Heating, Ventilation, and Cooling (HVAC) systems are often the most significant contributor to the energy usage, and the operational cost, of large office buildings. Therefore, to…

cs.CY2016★ 11 cited

Managing Commercial HVAC Systems: What do Building Operators Really Need?

Bharathan Balaji, Nadir Weibel, Yuvraj Agarwal

Buildings form an essential part of modern life; people spend a significant amount of their time in them, and they consume large amounts of energy. A variety of systems provide ser…

eess.SY2016★ 12 cited

Quiver: Using Control Perturbations to Increase the Observability of Sensor Data in Smart Buildings

Jason Koh, Bharathan Balaji, Vahideh Akhlaghi +2

Modern buildings consist of hundreds of sensors and actuators for monitoring and operation of systems such as HVAC, light and security. To enable portable applications in next gene…

cs.HC2016

Genie: A Longitudinal Study Comparing Physical and Software-augmented Thermostats in Office Buildings

Bharathan Balaji, Jason Koh, Nadir Weibel +1

Thermostats are primary interfaces for occupants of office buildings to express their comfort preferences. However, standard thermostats are often ineffective due to inaccessibilit…

eess.SY2015★ 2 cited

HVACMeter: Apportionment of HVAC Power to Thermal Zones and Air Handler Units

Jason Koh, Bharathan Balaji, Rajesh Gupta +1

Heating, Ventilation and Air Conditioning (HVAC) systems consume almost half of the total energy use of commercial buildings. To optimize HVAC energy usage, it is important to unde…