Publications

238 entries « 1 of 12 »
1.

Yebon Kim; Jinhyo Jung; Hyunjun Kim; Hwisoo So; Yohan Ko; Aviral Shrivastava; Kyoungwoo Lee; Uiwon Hwang

Adversarial Defense on Harmony: Reverse Attack for Robust Models Against Adversarial Attack Conference

IEEE Access, 2024.

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2.

Sumedh Joshi

ProGIP: Protecting Gradient-based Input Perturbation Approaches for Out-of-distribution Detection From Soft Errors Masters Thesis

2024.

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3.

Francis Mendoza

AEGIS: A Special-Purpose Computer Network For Strategic Cyber Defense Masters Thesis

2024.

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4.

Aviral Shrivastava; Vinayak Sharma

Primer on Data in Quantum Machine Learning Conference

2024 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), 2024.

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5.

Abhinav Kumar

DSP-MLIR: A Compiler for Digital Signal Processing in MLIR Masters Thesis

Arizona State University, 2024.

BibTeX | Tags: MLIR | Links:

6.

Abhinav Kumar; Atharva Khedkar; Aviral Shrivastava

DSP-MLIR: A Compiler for Digital Signal Processing in MLIR Working paper

2024.

BibTeX | Tags: MLIR | Links:

7.

Sai Shashank Peddiraju; Kaustubh Harapanahalli; Edward Andert; Aviral Shrivastava

IncidentNet: Traffic Incident Detection, Localization and Severity Estimation with Sparse Sensing Conference

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2024.

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8.

Edward Andert; Francis Mendoza; Hans Behrens; Aviral Shrivastava

Conclave - Secure and Robust Cooperative Perception for Connected Autonomous Vehicle Using Authenticated Consensus and Trust Scoring Conference

2024.

BibTeX | Tags: Autonomous Systems | Links:

9.

Jinhyo Jung; Hwisoo So; Woobin Ko; Sumedh Shridhar Joshi; Yebon Kim; Yohan Ko; Aviral Shrivastava; Kyoungwoo Lee

Maintaining Sanity: Algorithm-based Comprehensive Fault Tolerance for CNNs Conference

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024.

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10.

Shail Dave

An Agile Methodology for Designing Efficient Domain-Specific Architectures PhD Thesis

2024.

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11.

Sai Shashank Peddiraju

IncidentNet: Traffic Incident Detection, Localization and Severity Estimation with Sparse Sensing Masters Thesis

2024.

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12.

Shail Dave; Aviral Shrivastava; Tony Nowatzki

Systems and methods for agile and explainable optimization of efficient hardware/software codesigns for domain-specific computing systems using bottleneck analysis Patent

2024.

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13.

Guna Lagudu

LUCI: Multi-Application Orchestration Agent Masters Thesis

Arizona State University, 2024.

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14.

Shail Dave; Tony Nowatzki; Aviral Shrivastava

Explainable-DSE: An Agile and Explainable Exploration of Efficient Hardware/Software Codesigns of Deep Learning Accelerators Using Bottleneck Analysis Proceedings Article

In: Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024, (Won Silver Medal at ACM Student Research Competition 2022-23 (Host: ACM SIGBED)).

Abstract | BibTeX | Tags: Accelerated Computing, Machine Learning, Machine Learning Accelerators | Links:

15.

Mahesh Balasubramanian; Aviral Shrivastava

Systems and methods for fast-mapping of coarse-grained reconfigurable arrays Patent

2024.

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16.

Mahesh Balasubramanian; Aviral Shrivastava

Systems and methods for improved mapping of computational loops on reconfigurable architectures Patent

2024.

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17.

Aviral Shrivastava; Mohammad Khayatian; Bob Iannucci

Design Methodology for Robust, Distributed Time-Sensitive Applications Journal Article

In: IEEE Internet of Things Magazine, 2024.

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18.

Benjamin Willis; Aviral Shrivastava; Joshua Mack; Shail Dave; Chaitali Chakrabarti; John Brunhaver

Cyclebite: Extracting Task Graphs From Unstructured Compute-Programs Journal Article

In: IEEE Transactions on Computers, 2024.

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19.

Mohammad Khayatian; Mohammadreza Mehrabian; I-Ching Tseng; Chung-Wei Lin; Calin Belta; Aviral Shrivastava

Cooperative Driving of Connected Autonomous Vehicles using Responsibility Sensitive Safety Rules: A Control Barrier Functions Approach Journal Article

In: IEEE Transactions on Cyber Physical Systems, vol. 8, iss. 1, 2024.

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20.

Vinayak Sharma; Aviral Shrivastava

Quantum Polar Metric Learning: Efficient Classically Learned Quantum Embeddings Working paper

ArXiV, 2023.

Abstract | BibTeX | Tags: Quantum Computing, Quantum Machine Learning | Links:

238 entries « 1 of 12 »