Shravan Narayan

According to our database1, Shravan Narayan authored at least 16 papers between 2017 and 2023.

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Bibliography

2023
Half&Half: Demystifying Intel's Directional Branch Predictors for Fast, Secure Partitioned Execution.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

WaVe: a verifiably secure WebAssembly sandboxing runtime.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Going beyond the Limits of SFI: Flexible and Secure Hardware-Assisted In-Process Isolation with HFI.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
Retrofitting fast and secure sandboxing in real systems
PhD thesis, 2022

Isolation without taxation: near-zero-cost transitions for WebAssembly and SFI.
Proc. ACM Program. Lang., 2022

2021
Isolation Without Taxation: Near Zero Cost Transitions for SFI.
CoRR, 2021

Swivel: Hardening WebAssembly against Spectre.
Proceedings of the 30th USENIX Security Symposium, 2021

Tutorial: Sandboxing (unsafe) C code with RLBox.
Proceedings of the IEEE Secure Development Conference, 2021

Доверя'й, но проверя'й: SFI safety for native-compiled Wasm.
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2020
The Road to Less Trusted Code: Lowering the Barrier to In-Process Sandboxing.
login Usenix Mag., 2020

Retrofitting Fine Grain Isolation in the Firefox Renderer (Extended Version).
CoRR, 2020

Retrofitting Fine Grain Isolation in the Firefox Renderer.
Proceedings of the 29th USENIX Security Symposium, 2020

2019
Gobi: WebAssembly as a Practical Path to Library Sandboxing.
CoRR, 2019

Towards verified programming of embedded devices.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Browser history re: visited.
Proceedings of the 12th USENIX Workshop on Offensive Technologies, 2018

2017
Finding and Preventing Bugs in JavaScript Bindings.
Proceedings of the 2017 IEEE Symposium on Security and Privacy, 2017


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