Mohammadkazem Taram

Orcid: 0000-0002-3325-5048

According to our database1, Mohammadkazem Taram authored at least 21 papers between 2016 and 2024.

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Bibliography

2024
Hardware-Assisted Fault Isolation: Going Beyond the Limits of Software-Based Sandboxing.
IEEE Micro, 2024

Pathfinder: High-Resolution Control-Flow Attacks Exploiting the Conditional Branch Predictor.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
NVLeak: Off-Chip Side-Channel Attacks via Non-Volatile Memory Systems.
Proceedings of the 32nd USENIX Security Symposium, 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

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
Defusing the Tension between Security and Performance with Secure Microarchitectures
PhD thesis, 2022

Mitigating Speculative Execution Attacks via Context-Sensitive Fencing.
IEEE Des. Test, 2022

SecSMT: Securing SMT Processors against Contention-Based Covert Channels.
Proceedings of the 31st USENIX Security Symposium, 2022

2021
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy.
Proceedings of the WWW '21: The Web Conference 2021, 2021

I See Dead µops: Leaking Secrets via Intel/AMD Micro-Op Caches.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020
Privacy in Deep Learning: A Survey.
CoRR, 2020

A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural Inference.
CoRR, 2020

Packet Chasing: Spying on Network Packets over a Cache Side-Channel.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Shredder: Learning Noise Distributions to Protect Inference Privacy.
Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019
Context-Sensitive Decoding: On-Demand Microcode Customization for Security and Energy Management.
IEEE Micro, 2019

Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge.
CoRR, 2019

3DCAM: A Low Overhead Crosstalk Avoidance Mechanism for TSV-Based 3D ICs.
CoRR, 2019

Context-Sensitive Fencing: Securing Speculative Execution via Microcode Customization.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018
Mobilizing the Micro-Ops: Exploiting Context Sensitive Decoding for Security and Energy Efficiency.
Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

2016
A Compile-Time Optimization Method for WCET Reduction in Real-Time Embedded Systems through Block Formation.
ACM Trans. Archit. Code Optim., 2016

TooT: an efficient and scalable power-gating method for NoC routers.
Proceedings of the Tenth IEEE/ACM International Symposium on Networks-on-Chip, 2016


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