7 citations · 9 across the 3 of their papers we have counts for
6 papers
Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis
Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey +3
Generating sub-optimal synthesis transformation sequences ("synthesis recipe") is an important problem in logic synthesis. Manually crafted synthesis recipes have poor quality. Sta…
FuCE: Fuzzing+Concolic Execution guided Trojan Detection in Synthesizable Hardware Designs
Mukta Debnath, Animesh Basak Chowdhury, Debasri Saha +1
High-level synthesis (HLS) is the next emerging trend for designing complex customized architectures for applications such as Machine Learning, Video Processing. It provides a high…
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis
Animesh Basak Chowdhury, Benjamin Tan, Ramesh Karri +1
Logic synthesis is a challenging and widely-researched combinatorial optimization problem during integrated circuit (IC) design. It transforms a high-level description of hardware…
ASSURE: RTL Locking Against an Untrusted Foundry
Christian Pilato, Animesh Basak Chowdhury, Donatella Sciuto +2
Semiconductor design companies are integrating proprietary intellectual property (IP) blocks to build custom integrated circuits (IC) and fabricate them in a third-party foundry. U…
Adversarially Robust Learning via Entropic Regularization
Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury +2
In this paper we propose a new family of algorithms, ATENT, for training adversarially robust deep neural networks. We formulate a new loss function that is equipped with an additi…
RERS-Fuzz : Combining Greybox Fuzzing with Interval Analysis for error reachability in reactive softwares
Animesh Basak Chowdhury
Fuzz Testing is a well-studied area in the field of Software Maintenance and Evolution. In recent years, coverage-based Greybox fuzz testing has gained immense attention by discove…