Updates and Accomplishments
News
Read more about our recent activities--including papers, posters, talks, and internships.
Awards and Accolades
- Ali Behrouz, Margo Seltzer: IMLH Best Paper Award (2023)
- Finn Hackett, Shayan Hosseini, Renato Costa, Matthew Do, Ivan Beschastnikh: ASPLOS Distinguished Artifact Award (2023)
- Bingyao (Jerry) Wang: Best Paper award EMSOFT (2022)
- Arpan Gujarati: Best Paper award RTSS (2022)
- Margo Seltzer: Top 20 Canadian Women in Cyber Security (2021)
- Arpan Gujarati: 2021 SIGBED Paul Caspi Memorial Dissertation Award (2021)
- Milad Rezaei Hajidehi, Shayan Hosseini: 3rd Place - ICPC Pacific Northwest (2021)
- Margo Seltzer: Election to the American Academy of Arts and Sciences (2021)
- Alex Trostanovsky: Canada Graduate Scholarship -- Master's Program (2021)
- Margo Seltzer: ACM Software System Award (2020)
- Margo Seltzer: ACM SIGMOD Systems Award (2020)
Recent Papers Highlights
- Compiling Distributed System Models with PGo. Finn Hackett, Shayan Hosseini, Renato Costa, Matthew Do, Ivan Beschastnikh. ASPLOS 2023.
- Optimal Sparse Regression Trees. Rui Zhang, Rui Xin, Margo Seltzer, Cynthia Rudin. .
- Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction. Ali Behrouz, Margo Seltzer. NeurIPS 2022 TGL Workshop.
- Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design. Ali Behrouz, Mathias Lécuyer, Cynthia Rudin, Margo Seltzer. AIMLAI 2022.
- CS-MLGCN: Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks. Ali Behrouz, Farnoosh Hashemi. CIKM 2022.
- FirmTruss Community Search in Multilayer Networks. Ali Behrouz, Farnoosh Hashemi, Laks V.S. Lakshmanan. VLDB 2023.
- In-ConcReTeS: Interactive Consistency meets Distributed Real-Time Systems, Again!. Arpan Gujarati, Ningfeng Yang, Björn B. Brandenburg. RTSS 2022.
- The Fault in Our Data Stars: Studying Mitigation Techniques against Faulty Training Data in Machine Learning Applications. Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan. DSN 2022.
- Arming IDS Researchers with a Robotic Arm Dataset. Arpan Gujarati, Zainab Saeed Wattoo, Maryam Aliabadi, Sean Clark, Xiaoman Liu, Parisa Shiri, Amee Trivedi, Ruizhe Zhu, Jason Hein, Margo Seltzer. DSN 2022.
- FirmCore Decomposition of Multilayer Networks. Farnoosh Hashemi, Ali Behrouz, Laks V.S. Lakshmanan. WWW 2022.
- Fast Sparse Logistic Regression: New Techniques for Generalized Linear and Additive Models Using Quadratic Cuts and Dynamic Feature Ordering. Jiachang Liu, Chudi Zhong, Cynthia Rudin, Margo Seltzer. AISTATS 2022.
- Fast Sparse Decision Tree Optimization via Reference Ensembles. Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo Seltzer. AAAI 2022.
- Macchiato: Importing Cache Side Channels to SDNs. Amir Sabzi, Liron Schif, Kashyap Thimmaraju, Andreas Blenk, Stefan Schmid. ANCS 2021. Best Paper Award.
- Understanding the Resilience of Neural Network Ensembles against Faulty Training Data. Abraham Chan, Niranjhana Narayanan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan. QRS 2021. Best Paper Award.
- ARTINALI#: An Efficient Intrusion Detection Technique for Resource-Constrained Cyber-Physical Systems. Maryam Raiyat Aliabadi, Margo Seltzer, Mojtaba Vahidi Asl, Ramak Ghavamizadeh. IJCIP 2021.
- SIGL: Securing Software Installations Through Deep Graph Learning. X Han, X Yu, T Pasquier, D Li, J Rhee, J Mickens, M Seltzer, C Haifeng. USENIX Security 2020.
- Parking Packet Payload with P4. Swati Goswami, Nodir Kodirov, Craig Mustard, Ivan Beschastnikh, Margo Seltzer. CoNEXT 2020.
- To Tune or Not to Tune? In Search of Optimal Configurations for Data Analytics. Ayat Fekry, Lucian Carata, Thomas Pasquier, Andrew Rice, Andy Hopper. KDD 2020.
- Scalable constraint-based virtual data center allocation. Sam Bayless, Nodir Kodirov, Syed M. Iqbal, Ivan Beschastnikh, Holger H. Hoos, Alan J. Hu. Artificial Intelligence Journal (AIJ) 2020.
- Unexpected Performance of Intel® Optane™ DC Persistent Memory. Tony Mason, Thaleia Dimitra Doudali, Margo Seltzer, Ada Gavrilovska. IEEE Computer Architecture Letters 2020.
Recent Talks
- Finn Hackett, Shayan Hosseini: Compiling Distributed System Models Into Implementations with PGo, AWS Automated Reasoning Group 2022. [Video]
- Margo Seltzer: Imposter Syndrome, Stupid Questions, and Eight (+/-2) Problems I Need your Help With, PLDI 2022. [Video]
- Margo Seltzer: When Databases met UNIX: A Love Affair, John Lions Distinguished Lectures. [Video]
- Margo Seltzer: Caching: It's not just about Data, MPI-SWS Distinguished Lecture Series.
- Margo Seltzer: Data Lineage and its Applications, Netapp Technical Talk.
- Margo Seltzer: An NVM Carol, COMPASS Talk at ETH Zurich.
- Xueyuan (Michael) Han: UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats, 2020 NDSS. [Video]
- Xueyuan (Michael) Han: Xanthus: Push-button Orchestration of Host Provenance Data Collection, 2020 ACM International Workshop on Practical Reproducible Evaluation of Systems. [Video]
Internships
Spring 2023
- Milad Rezaei Hajidehi: Harvard University
Summer 2022
- Shaurya Patel: Google
- Shayan Hosseini: Microsoft Research, Networking Research Group
- Finn Hackett: Microsoft Research, Research in Software Engineering (RiSE)
- Sid Agrawal: ARM Research
Summer 2021
- Swati Goswami: Microsoft Research, Systems Research Group
Summer 2021
- Joseph Wonsil: Oracle Labs
Systopia lab is supported by a number of government and industrial sources, including Cisco Systems, the Communications Security Establishment Canada, Intel Research, the National Sciences and Engineering Research Council of Canada (NSERC), Network Appliance, Office of the Privacy Commissioner of Canada, and the National Science Foundation (NSF).