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Clement Fung
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PhD Student <br>
Carnegie Mellon University
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<h3> Older News </h3>
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<li><i>10/2023</i> [Paper]: Released a new pre-print based on work done during my summer internship at Bosch: "<a href="https://arxiv.org/abs/2310.10461">Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data</a>".</li>
<li><i>08/2023</i> [Paper]: "Attributions for ML-based ICS Anomaly Detection: From Theory to Practice" accepted at NDSS 2024!
<li><i>05/2023</i> [Work]: This summer, I am interning at the <a href="https://www.bosch-ai.com/">Bosch Center for AI</a> in Pittsburgh!
<li><i>05/2023</i> [Misc]: Attending <a href="https://cactus-colloquium.github.io/">CACTUS-P</a> at the University of Maryland in College Park! Find me if you want to chat about human interaction with anomaly detection!
<li><i>04/2023</i> [Talk]: Presented my research on industrial anomaly detection at a <a href="https://www.caecommunity.org/community-of-practice/cyber-research/get-know-your-fellow-cae-r">CAE-R research seminar</a>.
<li><i>02/2023</i> [Service]: Serving as a PC member for <a href="https://facctconference.org/2023/">FAccT '23</a>!
<li><i>10/2022</i> [Talk]: Presented my research on industrial anomaly detection at the <a href="https://www.cylab.cmu.edu/events/partners_conference/2022/index.html">2022 CyLab Partners Conference</a>. </li>
<li><i>09/2022</i> [Talk]: Speaking at <a href="https://esorics2022.compute.dtu.dk/">ESORICS 2022</a>.
<li><i>03/2022</i> [Paper]: "Perspectives from a Comprehensive Evaluation of Reconstruction-based Anomaly Detection in Industrial Control Systems" accepted at <a href="https://esorics2022.compute.dtu.dk/">ESORICS 2022</a>.
<li><i>03/2022</i> [Service]: Honoured and excited to serve as a PC member for <a href="https://facctconference.org/2022/">FAccT '22</a>!
<li><i>09/2021</i> [Service]: Served as a conference volunteer at a couple of conferences: EuroS&P '21 and SOUPS '21. Sadly, they were both virtual. Hoping to volunteer and attend in person soon!
<li><i>04/2021</i> [Talk]: Speaking at <a href="https://www2021.thewebconf.org/">The Web Conference 2021</a>.
<li><i>01/2021</i> [Paper]: "Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning" accepted at <a href="https://www2021.thewebconf.org/">The Web Conference 2021</a>.
<li><i>12/2020</i> [Paper]: "Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning" accepted in IEEE Transactions on Parallel and Distributed Systems (TPDS)!
<li><i>11/2020</i> [Misc]: I was <a href="https://podcasts.apple.com/us/podcast/sybil-attacks-on-federated-learning/id890348705?i=1000498506776">interviewed on the Data Skeptic Podcast</a> about my research in sybil attacks on federated learning. Very fun and cool experience!
<li><i>10/2020</i> [Talk]: Speaking at <a href="https://raid2020.org/">RAID 2020</a>.
<li><i>05/2020</i> [Paper]: "The Limitations of Federated Learning in Sybil Settings" presented at <a href="https://raid2020.org/">RAID 2020</a>.
<li><i>08/2019</i> [Misc]: Starting my PhD at CMU. The journey continues!
<li><i>08/2019</i> [Talk]: Speaking at <a href="https://icsr.zju.edu.cn/apsys2019/">APSys 2019</a>. Had a great time in Hangzhou, China!
<li><i>07/2019</i> [Work]: My last day at <a href="https://www.oasislabs.com/">Oasis Labs</a>. Thank you so much for a great 7 months in California, and I'm so excited to see more great work in privacy-preserving technology coming from the team!
<li><i>06/2019</i> [Poster]: "GainForest: Scaling Climate Finance for Forest Conservation using Interpretable Machine Learning on Satellite Imagery" at the <a href="https://icml.cc/Conferences/2019">ICML 2019</a>, <a href="https://www.climatechange.ai/ICML2019_workshop.html">Climate Change: How Can AI Help?</a> workshop in Long Beach.
<li><i>04/2019</i> [Paper]: "Brokered Agreements in Multi-Party Machine Learning" accepted at <a href="https://icsr.zju.edu.cn/apsys2019/">APSys 2019</a>.
<li><i>02/2019</i> [Poster]: "Biscotti: A Ledger for Private and Secure Peer to Peer Machine Learning" at <a href="https://www.usenix.org/conference/nsdi19/poster-session">NSDI'19</a>.
<li><i>01/2019</i> [Work]: My first day working at <a href="https://www.oasislabs.com/">Oasis Labs</a>, a Berkeley blockchain startup founded by Professor <a href="https://people.eecs.berkeley.edu/~dawnsong/">Dawn Song</a>. Excited to build technology that enables privacy-preserving data computation on the blockchain!
<li><i>11/2018</i> [Misc]: Defended my masters thesis: "<a href="http://hdl.handle.net/2429/67623">Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting</a>". The thesis has also been reformatted and posted on <a href="https://arxiv.org/abs/1811.09712">arXiv</a>.</li>
<li><i>08/2018</i> [Paper]: A summer side project, "<a href="https://arxiv.org/abs/1808.04866">Mitigating Sybils in Federated Learning</a>" is now on arXiv.</li>
<li><i>05/2018</i> [Award]: I'm honoured to receive both a UBC Computer Science <a href="https://www.cs.ubc.ca/award/2018/05/ubc-computer-science-department-graduate-ta-award">Graduate TA Award</a> and <a href="https://www.cs.ubc.ca/award/2018/05/ubc-computer-science-department-student-service-award-0">Department Student Service Award</a> for the 2017 academic year. Thank you!</li>
<li><i>05/2018</i> [Talk]: I presented a <a href="gallery/TorMentor-Poster-Print.pdf">poster</a> and gave a talk on my research at the <a href="http://blogs.ubc.ca/cybersecuritysummit/">UBC CyberSecurity Summit</a>. The video is available <a href="https://youtu.be/rV6U-jy8e1k?t=1h13m30s">here</a>.</li>
<li><i>04/2018</i> [Misc]: My term as the <a href="https://www.cs.ubc.ca/~csgsa">CSGSA</a> president has ended. Thus marks the end of a fun year!</li>
<li> <i>12/2017</i> [Talk]: I'm giving a talk at UofT, hosted by Prof. <a href="http://www.eecg.toronto.edu/~lie/index.shtml">David Lie</a>'s group. Thank you for hosting me! </li>
<li> <i>04/2017</i> [Misc]: I was elected as the president of the <a href="https://www.cs.ubc.ca/~csgsa">CSGSA</a>. </li>
<li> <i>09/2016</i> [Misc]: The genesis block. My first day at UBC as a new Master's student. </li>
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