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Sahil Suneja
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Books and Theses
- 2016
- [b1]Sahil Suneja:
Non-intrusive Virtual Systems Monitoring. University of Toronto, Canada, 2016
Journal Articles
- 2023
- [j3]Sahil Suneja
, Yufan Zhuang
, Yunhui Zheng
, Jim Laredo
, Alessandro Morari
, Udayan Khurana
:
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. 32(6): 145:1-145:40 (2023) - 2021
- [j2]Rupesh Raj Karn
, Prabhakar Kudva
, Hai Huang, Sahil Suneja, Ibrahim M. Elfadel
:
Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning. IEEE Trans. Parallel Distributed Syst. 32(3): 674-691 (2021) - 2016
- [j1]Sahil Suneja, Canturk Isci, Ricardo Koller, Eyal de Lara:
Touchless and always-on cloud analytics as a service. IBM J. Res. Dev. 60(2-3) (2016)
Conference and Workshop Papers
- 2023
- [c27]Somin Song, Sahil Suneja, Michael V. Le, Byungchul Tak:
On the Value of Sequence-Based System Call Filtering for Container Security. CLOUD 2023: 296-307 - [c26]Somin Song, Sahil Suneja, Michael V. Le, Byungchul Tak:
Sequence-based System Call Filtering for Enhanced Container Security, is it beneficial? CCGridW 2023: 278-280 - [c25]Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri:
Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models. DAC 2023: 1-4 - [c24]Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari, Udayan Khurana:
Code Vulnerability Detection via Signal-Aware Learning. EuroS&P 2023: 506-523 - [c23]Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour:
Study of Distractors in Neural Models of Code. InteNSE@ICSE 2023: 1-7 - 2022
- [c22]Sunwoo Jang, Somin Song, Byungchul Tak, Sahil Suneja, Michael V. Le, Chuan Yue, Dan Williams:
SecQuant: Quantifying Container System Call Exposure. ESORICS (2) 2022: 145-166 - [c21]Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser
, Baishakhi Ray:
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. SANER 2022: 959-970 - 2021
- [c20]Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Alain Laredo, Alessandro Morari:
Towards Reliable AI for Source Code Understanding. SoCC 2021: 403-411 - [c19]Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Alain Laredo, Alessandro Morari:
Probing model signal-awareness via prediction-preserving input minimization. ESEC/SIGSOFT FSE 2021: 945-955 - 2020
- [c18]Apoorve Mohan, Shripad Nadgowda, Bhautik Pipaliya, Sona Varma, Sahil Suneja, Canturk Isci, Gene Cooperman, Peter Desnoyers, Orran Krieger, Ata Turk:
Towards Non-Intrusive Software Introspection and Beyond. IC2E 2020: 173-184 - 2019
- [c17]Tatsuhiro Chiba, Rina Nakazawa, Hiroshi Horii, Sahil Suneja, Seetharami Seelam:
ConfAdvisor: A Performance-centric Configuration Tuning Framework for Containers on Kubernetes. IC2E 2019: 168-178 - [c16]Sahil Suneja, Ali Kanso, Canturk Isci:
Can Container Fusion Be Securely Achieved? WOC@Middleware 2019: 31-36 - 2018
- [c15]Shripad Nadgowda, Sahil Suneja, Canturk Isci:
RECap: Run-Escape Capsule for On-demand Managed Service Delivery in the Cloud. HotCloud 2018 - [c14]Byung-Chul Tak, Hyekyung Kim, Sahil Suneja, Canturk Isci, Prabhakar Kudva:
Security Analysis of Container Images Using Cloud Analytics Framework. ICWS 2018: 116-133 - 2017
- [c13]Shripad Nadgowda, Sahil Suneja, Canturk Isci:
Paracloud: Bringing Application Insight into Cloud Operations. HotCloud 2017 - [c12]Shripad Nadgowda, Sahil Suneja, Ali Kanso:
Comparing Scaling Methods for Linux Containers. IC2E 2017: 266-272 - [c11]Shripad Nadgowda, Sahil Suneja, Nilton Bila, Canturk Isci:
Voyager: Complete Container State Migration. ICDCS 2017: 2137-2142 - [c10]Salman Baset, Sahil Suneja, Nilton Bila, Ozan Tuncer, Canturk Isci:
Usable declarative configuration specification and validation for applications, systems, and cloud. Middleware Industry 2017: 29-35 - [c9]Fábio Oliveira, Sahil Suneja, Shripad Nadgowda, Priya Nagpurkar, Canturk Isci:
Opvis: extensible, cross-platform operational visibility and analytics for cloud. Middleware Industry 2017: 43-49 - [c8]Sahil Suneja, Ricardo Koller, Canturk Isci, Eyal de Lara, Ali B. Hashemi, Arnamoy Bhattacharyya, Cristiana Amza:
Safe Inspection of Live Virtual Machines. VEE 2017: 97-111 - 2015
- [c7]Patrick Colp, Jiawen Zhang, James Gleeson, Sahil Suneja, Eyal de Lara, Himanshu Raj, Stefan Saroiu, Alec Wolman:
Protecting Data on Smartphones and Tablets from Memory Attacks. ASPLOS 2015: 177-189 - [c6]Ricardo Koller, Canturk Isci, Sahil Suneja, Eyal de Lara:
Unified Monitoring and Analytics in the Cloud. HotCloud 2015 - [c5]Sahil Suneja, Canturk Isci, Eyal de Lara, Vasanth Bala:
Exploring VM Introspection: Techniques and Trade-offs. VEE 2015: 133-146 - 2014
- [c4]Junji Zhi, Sahil Suneja, Eyal de Lara:
The Case for System Testing with Swift Hierarchical VM Fork. HotCloud 2014 - [c3]Sahil Suneja, Canturk Isci, Vasanth Bala, Eyal de Lara, Todd W. Mummert:
Non-intrusive, out-of-band and out-of-the-box systems monitoring in the cloud. SIGMETRICS 2014: 249-261 - 2013
- [c2]Sahil Suneja, Vishnu Navda, Ramachandran Ramjee, Eyal de Lara:
EnVi: energy efficient video player for mobiles. CellNet@MobiSys 2013: 25-30 - 2011
- [c1]Sahil Suneja, Elliott Baron, Ryan Johnson:
Accelerating the Cloud with Heterogeneous Computing. HotCloud 2011
Informal and Other Publications
- 2024
- [i9]Davis Wertheimer, Joshua Rosenkranz, Thomas P. Parnell, Sahil Suneja, Pavithra Ranganathan, Raghu K. Ganti, Mudhakar Srivatsa:
Accelerating Production LLMs with Combined Token/Embedding Speculators. CoRR abs/2404.19124 (2024) - 2023
- [i8]Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour:
Study of Distractors in Neural Models of Code. CoRR abs/2303.01739 (2023) - [i7]Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri:
Automated Code generation for Information Technology Tasks in YAML through Large Language Models. CoRR abs/2305.02783 (2023) - 2021
- [i6]Yufan Zhuang, Sahil Suneja, Veronika Thost, Giacomo Domeniconi, Alessandro Morari, Jim Laredo:
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation. CoRR abs/2109.03341 (2021) - [i5]Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari:
Data-Driven and SE-assisted AI Model Signal-Awareness Enhancement and Introspection. CoRR abs/2111.05827 (2021) - [i4]Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray:
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. CoRR abs/2112.10893 (2021) - 2020
- [i3]Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Laredo, Alessandro Morari:
Learning to map source code to software vulnerability using code-as-a-graph. CoRR abs/2006.08614 (2020) - [i2]Yunhui Zheng, Sahil Suneja, Yufan Zhuang, Alessandro Morari, Jim Laredo:
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization. CoRR abs/2011.14934 (2020) - 2019
- [i1]Sahil Suneja, Canturk Isci:
Secure Extensibility for System State Extraction via Plugin Sandboxing. CoRR abs/1905.08192 (2019)
Coauthor Index
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