PhD Candidate in Security and ML at Columbia University

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portfolio

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publications

[Oceans 2012] Oversampling MAVS for Reduction of Vortex-Shedding Velocity Sensing Noise. Albert J. Williams, Gabriel Ryan, and Fredrik Thwaites. [paper]

[Oakland S&P Workshops 2018] Simulated User Bots: Real Time Testing of Insider Threat Detection Systems. Preetam Dutta, Gabriel Ryan, Aleksander Zeiba, and Salvatore Stolfo. [paper]

[Infovis 2018] At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity. Gabriel Ryan, Abigail Mosca, Remco Chang, and Eugene Wu. [paper] [code]

[Oakland S&P 2019] Poster: Precise Dynamic Dataflow Tracking with Proximal Gradients. Gabriel Ryan, Abhishek Shah, Dongdong She, Koustubha Bhat, and Suman Jana. [paper] [poster]

[ICLR 2020] CLN2INV: Learning Loop Invariants with Continuous Logic Networks. Gabriel Ryan*, Justin Wong*, Jianan Yao*, Ronghui Gu, and Suman Jana. [paper] [code]

[PLDI 2020] Learning Nonlinear Loop Invariants with Gated Continuous Logic Networks. Jianan Yao*, Gabriel Ryan*, Justin Wong*, Suman Jana, and Ronghui Gu. [paper] [code]

[USENIX Security 2021] Fine Grained Dataflow Tracking with Proximal Gradients. Gabriel Ryan, Abhishek Shah, Dongdong She, Koustubha Bhat, and Suman Jana. [paper] [code]

talks

Talk 1 on Relevant Topic in Your Field  

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Conference Proceeding talk 3 on Relevant Topic in Your Field  

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teaching

Teaching experience 1  

Undergraduate course, University 1, Department, 2014

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Teaching experience 2  

Workshop, University 1, Department, 2015

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