Animesh Basak Chowdhury

Orcid: 0000-0002-5869-1751

According to our database1, Animesh Basak Chowdhury authored at least 28 papers between 2018 and 2024.

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Bibliography

2024
Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS.
CoRR, 2024

Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization.
CoRR, 2024

2023
Fuzzing+Hardware Performance Counters-Based Detection of Algorithm Subversion Attacks on Postquantum Signature Schemes.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2023

Bulls-Eye: Active Few-Shot Learning Guided Logic Synthesis.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

A Golden-Free Approach to Detect Trojans in COTS Multi-PCB Systems.
IEEE Micro, 2023

Towards the Imagenets of ML4EDA.
CoRR, 2023

INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search.
CoRR, 2023

ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations.
Proceedings of the 5th ACM/IEEE Workshop on Machine Learning for CAD, 2023

Invited Paper: Towards the Imagenets of ML4EDA.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Robust Deep Learning for IC Test Problems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Test Generation for SystemC designs by interlaced Greybox Fuzzing and Concolic Execution.
CoRR, 2022

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis.
CoRR, 2022

Fuzzing+Hardware Performance Counters-Based Detection of Algorithm Subversion Attacks on Post-Quantum Signature Schemes.
CoRR, 2022

GreyConE: Greybox Fuzzing + Concolic Execution Guided Test Generation for High Level Designs.
Proceedings of the IEEE International Test Conference, 2022

2021
ASSURE: RTL Locking Against an Untrusted Foundry.
IEEE Trans. Very Large Scale Integr. Syst., 2021

Adversarially Robust Learning via Entropic Regularization.
Frontiers Artif. Intell., 2021

FuCE: Fuzzing+Concolic Execution guided Trojan Detection in Synthesizable Hardware Designs.
CoRR, 2021

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis.
CoRR, 2021

Special Session: Machine Learning for Semiconductor Test and Reliability.
Proceedings of the 39th IEEE VLSI Test Symposium, 2021

Fortifying RTL Locking Against Oracle-Less (Untrusted Foundry) and Oracle-Guided Attacks.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Adversarially Robust Learning via Entropic Regularization.
CoRR, 2020

Explaining and Interpreting Machine Learning CAD Decisions: An IC Testing Case Study.
Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

2019
RERS-Fuzz : Combining Greybox Fuzzing with Interval Analysis for error reachability in reactive softwares.
CoRR, 2019

VeriFuzz: Program Aware Fuzzing - (Competition Contribution).
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2019

Fault Coverage of a Test Set on Structure-Preserving Siblings of a Circuit-Under-Test.
Proceedings of the 28th IEEE Asian Test Symposium, 2019

2018
VeriAbs: Verification by Abstraction and Test Generation - (Competition Contribution).
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2018

ATPG Binning and SAT-Based Approach to Hardware Trojan Detection for Safety-Critical Systems.
Proceedings of the Network and System Security - 12th International Conference, 2018


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