DRV-Fingerprinting: Using Data Retention Voltage of SRAM Cells for Chip Identification. - Daniel E. Holcomb; Amir Rahmati; Mastooreh Salajegheh; Wayne P. Burleson; Kevin Fu (RFIDSec, 2012)

TARDIS: Time and Remanence Decay in SRAM to Implement Secure Protocols on Embedded Devices without Clocks. - Amir Rahmati; Mastooreh Salajegheh; Daniel E. Holcomb; Jacob Sorber; Wayne P. Burleson; Kevin Fu (USENIX Security Symposium, 2012)

WattsUpDoc: Power Side Channels to Nonintrusively Discover Untargeted Malware on Embedded Medical Devices. - Shane S. Clark; Benjamin Ransford; Amir Rahmati; Shane Guineau; Jacob Sorber; Wenyuan Xu 001; Kevin Fu (HealthTech, 2013)

Context-Specific Access Control: Conforming Permissions With User Expectations. - Amir Rahmati; Harsha V. Madhyastha (SPSM@CCS, 2015)

Probable cause: the deanonymizing effects of approximate DRAM. - Amir Rahmati; Matthew Hicks; Daniel E. Holcomb; Kevin Fu (ISCA, 2015)

Reliable Physical Unclonable Functions Using Data Retention Voltage of SRAM Cells. - Xiaolin Xu 001; Amir Rahmati; Daniel E. Holcomb; Kevin Fu; Wayne P. Burleson (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015)

Towards Comprehensive Repositories of Opinions. - Han Zhang 037; Kasra Edalat Nejad; Amir Rahmati; Harsha V. Madhyastha (HotNets, 2016)

Applying the Opacified Computation Model to Enforce Information Flow Policies in IoT Applications. - Amir Rahmati; Earlence Fernandes; Atul Prakash 001 (SecDev, 2016)

FlowFence: Practical Data Protection for Emerging IoT Application Frameworks. - Earlence Fernandes; Justin Paupore; Amir Rahmati; Daniel Simionato; Mauro Conti; Atul Prakash 001 (USENIX Security Symposium, 2016)

Persistent Clocks for Batteryless Sensing Devices. - Josiah D. Hester; Nicole Tobias; Amir Rahmati; Lanny Sitanayah; Daniel E. Holcomb; Kevin Fu; Wayne P. Burleson; Jacob Sorber (ACM Trans. Embed. Comput. Syst., 2016)

Heimdall: A Privacy-Respecting Implicit Preference Collection Framework. - Amir Rahmati; Earlence Fernandes; Kevin Eykholt; Xinheng Chen; Atul Prakash 001 (MobiSys, 2017)

ContexloT: Towards Providing Contextual Integrity to Appified IoT Platforms. - Yunhan Jack Jia; Qi Alfred Chen; Shiqi Wang 002; Amir Rahmati; Earlence Fernandes; Zhuoqing Morley Mao; Atul Prakash 001 (NDSS, 2017)

Robust Physical-World Attacks on Machine Learning Models. - Ivan Evtimov; Kevin Eykholt; Earlence Fernandes; Tadayoshi Kohno; Bo Li 026; Atul Prakash 001; Amir Rahmati; Dawn Song (CoRR, 2017)

Decoupled-IFTTT: Constraining Privilege in Trigger-Action Platforms for the Internet of Things. - Earlence Fernandes; Amir Rahmati; Jaeyeon Jung; Atul Prakash 001 (CoRR, 2017)

IFTTT vs. Zapier: A Comparative Study of Trigger-Action Programming Frameworks. - Amir Rahmati; Earlence Fernandes; Jaeyeon Jung; Atul Prakash 001 (CoRR, 2017)

Note on Attacking Object Detectors with Adversarial Stickers. - Kevin Eykholt; Ivan Evtimov; Earlence Fernandes; Bo Li 026; Dawn Song; Tadayoshi Kohno; Amir Rahmati; Atul Prakash 001; Florian Tramèr (CoRR, 2017)

Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges? - Earlence Fernandes; Amir Rahmati; Kevin Eykholt; Atul Prakash 001 (IEEE Secur. Priv., 2017)

Security Implications of Permission Models in Smart-Home Application Frameworks. - Earlence Fernandes; Amir Rahmati; Jaeyeon Jung; Atul Prakash 001 (IEEE Secur. Priv., 2017)

Attacking and Defending Emerging Computer Systems Using The Memory Remanence Effect. - Amir Rahmati (2017)

Robust Physical-World Attacks on Deep Learning Visual Classification. - Kevin Eykholt; Ivan Evtimov; Earlence Fernandes; Bo Li 026; Amir Rahmati; Chaowei Xiao; Atul Prakash 001; Tadayoshi Kohno; Dawn Song (CVPR, 2018)

Decentralized Action Integrity for Trigger-Action IoT Platforms. - Earlence Fernandes; Amir Rahmati; Jaeyeon Jung; Atul Prakash 001 (NDSS, 2018)

Tyche: A Risk-Based Permission Model for Smart Homes. - Amir Rahmati; Earlence Fernandes; Kevin Eykholt; Atul Prakash 001 (SecDev, 2018)

ATtention Spanned: Comprehensive Vulnerability Analysis of AT Commands Within the Android Ecosystem. - Dave (Jing) Tian; Grant Hernandez; Joseph I. Choi; Vanessa Frost; Christie Ruales; Patrick Traynor; Hayawardh Vijayakumar; Lee Harrison; Amir Rahmati; Michael Grace; Kevin R. B. Butler (USENIX Security Symposium, 2018)

Physical Adversarial Examples for Object Detectors. - Dawn Song; Kevin Eykholt; Ivan Evtimov; Earlence Fernandes; Bo Li 026; Amir Rahmati; Florian Tramèr; Atul Prakash 001; Tadayoshi Kohno (WOOT @ USENIX Security Symposium, 2018)

Tyche: Risk-Based Permissions for Smart Home Platforms. - Amir Rahmati; Earlence Fernandes; Kevin Eykholt; Atul Prakash 001 (CoRR, 2018)

Protecting Visual Information in Augmented Reality from Malicious Application Developers. - Jk Jensen; Jinhan Hu; Amir Rahmati; Robert LiKamWa (WearSys@MobiSys, 2019)

VISCR: Intuitive & Conflict-free Automation for Securing the Dynamic Consumer IoT Infrastructures. - Vasudevan Nagendra; Arani Bhattacharya; Vinod Yegneswaran; Amir Rahmati; Samir R. Das (CoRR, 2019)

Transferable Adversarial Robustness using Adversarially Trained Autoencoders. - Pratik Vaishnavi; Kevin Eykholt; Atul Prakash 001; Amir Rahmati (CoRR, 2019)

New Problems and Solutions in IoT Security and Privacy. - Earlence Fernandes; Amir Rahmati; Nick Feamster (CoRR, 2019)

Decentralized Cooperative Communication-less Multi-Agent Task Assignment with Monte-Carlo Tree Search. - Mohammad Reza Daneshvaramoli; Mohammad Sina Kiarostami; Saleh Khalaj Monfared; Helia Karisani; Hamed Khashehchi; Dara Rahmati; Saeid Gorgin 001; Amir Rahmati (CoRR, 2019)

Can Attention Masks Improve Adversarial Robustness? - Pratik Vaishnavi; Tianji Cong; Kevin Eykholt; Atul Prakash 001; Amir Rahmati (CoRR, 2019)

Valve: Securing Function Workflows on Serverless Computing Platforms. - Pubali Datta; Prabuddha Kumar; Tristan Morris; Michael Grace; Amir Rahmati; Adam Bates 001 (WWW, 2020)

An Intent-Based Automation Framework for Securing Dynamic Consumer IoT Infrastructures. - Vasudevan Nagendra; Arani Bhattacharya; Vinod Yegneswaran; Amir Rahmati; Samir Ranjan Das (WWW, 2020)

Good Bot, Bad Bot: Characterizing Automated Browsing Activity. - Xigao Li; Babak Amin Azad; Amir Rahmati; Nick Nikiforakis (SP, 2021)

Accelerating Certified Robustness Training via Knowledge Transfer. - Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati (NeurIPS, 2022)

Ares: A System-Oriented Wargame Framework for Adversarial ML. - Farhan Ahmed; Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati (SP (Workshops), 2022)

Transferring Adversarial Robustness Through Robust Representation Matching. - Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati (USENIX Security Symposium, 2022)

Erebus: Access Control for Augmented Reality Systems. - Yoonsang Kim; Sanket Goutam; Amir Rahmati; Arie E. Kaufman (USENIX Security Symposium, 2023)

Scan Me If You Can: Understanding and Detecting Unwanted Vulnerability Scanning. - Xigao Li; Babak Amin Azad; Amir Rahmati; Nick Nikiforakis (WWW, 2023)

Synthesizing Pareto-Optimal Signal-Injection Attacks on ICDs. - Veena Krish; Nicola Paoletti; Scott A. Smolka; Amir Rahmati (IEEE Access, 2023)

Fast Koopman Surrogate Falsification Using Linear Relaxations and Weights. - Stanley Bak; Abdelrahman Hekal; Niklas Kochdumper; Ethan Lew; Andrew Mata; Amir Rahmati (ATVA (2), 2024)

Security Analysis of RL-Based Artificial Pancreas Systems. - Preston Chang; Veena Krish; Amir Rahmati (HealthSec@CCS, 2024)

Falsification using Reachability of Surrogate Koopman Models. - Stanley Bak; Sergiy Bogomolov; Abdelrahman Hekal; Niklas Kochdumper; Ethan Lew; Andrew Mata; Amir Rahmati (HSCC, 2024)

Zero-One Attack: Degrading Closed-Loop Neural Network Control Systems using State-Time Perturbations. - Stanley Bak; Sergiy Bogomolov; Abdelrahman Hekal; Veena Krish; Andrew Mata; Amir Rahmati (ICCPS, 2024)

Like, Comment, Get Scammed: Characterizing Comment Scams on Media Platforms. - Xigao Li; Amir Rahmati; Nick Nikiforakis (NDSS, 2024)

Biosignal Authentication Considered Harmful Today. - Veena Krish; Nicola Paoletti; Milad Kazemi; Scott A. Smolka; Amir Rahmati (USENIX Security Symposium, 2024)

Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks. - Kevin Eykholt; Farhan Ahmed; Pratik Vaishnavi; Amir Rahmati (CoRR, 2024)

Provable observation noise robustness for neural network control systems. - Veena Krish; Andrew Mata; Stanley Bak; Kerianne Hobbs; Amir Rahmati (Res. Dir. Cyber Phys. Syst., 2024)

A Study of the Effects of Transfer Learning on Adversarial Robustness. - Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati (Trans. Mach. Learn. Res., 2024)

The Poorest Man in Babylon: A Longitudinal Study of Cryptocurrency Investment Scams. - Muhammad Muzammil; Abisheka Pitumpe; Xigao Li; Amir Rahmati; Nick Nikiforakis (WWW, 2025)