Publications

(2022). On the Feasibility of Compressing Certifiably Robust Neural Networks. In Trustworthy and Socially Responsible Machine Learning (TSRML).

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(2022). Accelerating Certified Robustness Training via Knowledge Transfer. In Conference on Neural Information Processing Systems (NeurIPS).

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(2022). Transferring Adversarial Robustness Through Robust Representation Matching. In USENIX Security Symposium (USENIX Sec).

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(2022). Ares: A System-Oriented Wargame Framework for Adversarial ML. In IEEE Deep Learning And Security Workshop (DLS).

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(2021). Good Bot, Bad Bot: Characterizing Automated Browsing Activity. In IEEE Symposium on Security and Privacy (S&P).

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(2020). Valve: Securing Function Workflows on Serverless Computing Platforms. In The Web Conference (WWW).

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(2020). An Intent-Based Automation Framework for Securing Dynamic Consumer IoT Infrastructures. In The Web Conference (WWW).

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(2020). Can Attention Masks Improve Adversarial Robustness?. In The AAAI-20 Workshop on Engineering Dependable and Secure Machine Learning Systems (EDSMLS).

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(2019). Protecting Visual Information in Augmented Reality from Malicious Application Developers. In ACM Workshop on Wearable Systems and Applications (WearSys).

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(2018). ATtention Spanned: Comprehensive Vulnerability Analysis of AT Commands Within the Android Ecosystem. In USENIX Security Symposium (USENIX Sec).

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(2018). The State of Physical Attacks on Deep Learning Systems. In USENIX Summit on Hot Topics in Security (HotSec).

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(2018). Physical Adversarial Examples for Object Detectors. In USENIX Workshop on Offensive Technologies (WOOT).

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(2018). Robust Physical-World Attacks on Deep Learning Visual Classification. In Workshop on the Bright and Dark Sides of Computer Vision (CV-COPS).

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(2018). Robust Physical-World Attacks on Deep Learning Visual Classification. In Conference on Computer Vision and Pattern Recognition (CVPR).

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(2018). Caterpillar: Iterative Concolic Execution for Stateful Programs. In International KLEE Workshop on Symbolic Execution (KLEE).

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(2018). Decentralized Action Integrity for Trigger-Action IoT Platforms. In Network and Distributed System Security Symposium (NDSS).

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(2017). IFTTT vs. Zapier: A Comparative Study of Trigger-Action Programming Frameworks. In arXiv (1709.02788).

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(2017). Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges?. In IEEE Security & Privacy (S&P Magazine): Systems Attacks and Defenses.

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(2017). Heimdall: A Privacy-Respecting Implicit Preference Collection Framework. In ACM International Conference on Mobile Systems, Applications, and Services (MobiSys).

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(2017). Tyche: A Risk-Based Permission Model for Smart Homes. In IEEE Cybersecurity Development Conference (SecDev).

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(2017). Securing Trigger-Action Platforms. In USENIX Summit on Hot Topics in Security (HotSec).

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(2017). Support for Security and Safety of Programmable IoT Systems. In ISSTA Workshop on Testing Embedded and Cyber-Physical Systems (TECPS).

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(2017). The Security Implications of Permission Models of Smart Home Application Frameworks. In IEEE Security & Privacy (S&P Magazine), Volume 15, Issue 2.

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(2017). ContexIoT: Towards Providing Contextual Integrity to Appified IoT Platforms. In Network and Distributed System Security Symposium (NDSS).

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(2016). Towards Comprehensive Repositories of Opinions. In ACM Workshop on Hot Topics in Networks (HotNets).

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(2016). Applying the Opacified Computation Model to Enforce Information Flow Policies in IoT Applications. In IEEE Cybersecurity Development Conference (SecDev).

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(2016). FlowFence: Practical Data Protection for Emerging IoT Application Frameworks. In USENIX Security Symposium (USENIX Sec).

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(2016). Persistent Clocks for Batteryless Sensing Devices. In Transactions on Embedded Computing Systems (TECS).

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(2016). Approximate Flash Storage: A Feasibility Study. In Workshop on Approximate Computing Across the Stack (WAX).

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(2015). Context-Specific Access Control: Conforming Permissions With User Expectations. In ACM CCS Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM).

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(2015). Probable Cause: The Deanonymizing Effects of Approximate DRAM. In International Symposium on Computer Architecture (ISCA).

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(2014). Stigmalware: Investigating the Prevalence of Malware in the Clinical Domain. In Poster and Short Talk session of IEEE Symposium on Security and Privacy (IEEE S&P).

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(2014). Malware Prognosis: How to Do Malware Research in Medical Domain. In USENIX Workshop on Health Information Technologies (Health Tech).

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(2014). Reliable Physical Unclonable Functions using Data Retention Voltage of SRAM Cells. In IEEE Transactions on CAD: Special Section on Hardware Security and Trust (TCAD).

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(2014). Refreshing Thoughts on DRAM: Power Saving vs. Data Integrity. In Workshop on Approximate Computing Across the System Stack (WACAS).

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(2013). Under What Circumstances Are Insider Leaks Justified?. In Cyber Conflict Report.

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(2013). Cyber Dimensions of State Repression. In Cyber Conflict Report.

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(2013). WattsUpDoc: Power Side Channels to Nonintrusively Discover Untargeted Malware on Embedded Medical Devices. In USENIX Workshop on Health Information Technologies (Health Tech).

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(2012). DRV-Fingerprinting: Using Data Retention Voltage of SRAM Cells for Chip Identification. In Workshop On RFID Security And Privacy (RFIDsec).

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(2012). TARDIS: Time and Remanence Decay in SRAM to Implement Secure Protocols on Embedded Devices without Clocks. In USENIX Security Symposium (USENIX Sec).

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(2012). TARDIS: Secure Time Keeping For Embedded Devices Without Clocks. In Poster and Short Talk session of IEEE Symposium on Security and Privacy (IEEE S&P).

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