20042019
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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Silicon Engineering & Materials Science
Electric potential Engineering & Materials Science
Particle accelerators Engineering & Materials Science
Hardware Engineering & Materials Science
Integrated circuits Engineering & Materials Science
Intellectual property Engineering & Materials Science
Reverse engineering Engineering & Materials Science
Throughput Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2004 2019

BadNets: Evaluating Backdooring Attacks on Deep Neural Networks

Gu, T., Liu, K., Dolan-Gavitt, B. & Garg, S., Jan 1 2019, In : IEEE Access. 7, p. 47230-47243 14 p., 8685687.

Research output: Contribution to journalArticle

Open Access
Neural networks
Classifiers
Detectors
Deep neural networks
Graphics processing unit

Fault-tolerant Systolic Array Based Accelerators for Deep Neural Network Execution

Zhang, J. J., Basu, K. & Garg, S., Jan 1 2019, In : IEEE Design and Test.

Research output: Contribution to journalArticle

Systolic arrays
Particle accelerators
Tensors
Processing
Deep neural networks

Matching Graphs with Community Structure: A Concentration of Measure Approach

Shirani, F., Garg, S. & Erkip, E., Feb 5 2019, 2018 56th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2018. Institute of Electrical and Electronics Engineers Inc., p. 1028-1035 8 p. 8636015. (2018 56th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Concentration of Measure
Graph Matching
Community Structure
Model structures
Graph in graph theory

Split manufacturing-based register transfer-level obfuscation

Cui, X., Zhang, J. J., Wu, K., Garg, S. & Karri, R., Jan 1 2019, In : ACM Journal on Emerging Technologies in Computing Systems. 15, 1, 11.

Research output: Contribution to journalArticle

Intellectual property
Foundries
Fabrication
Integrated circuits
Reverse engineering

Analyzing and mitigating the impact of permanent faults on a systolic array based neural network accelerator

Zhang, J., Gu, T., Basu, K. & Garg, S., May 29 2018, Proceedings - 2018 IEEE 36th VLSI Test Symposium, VTS 2018. IEEE Computer Society, Vol. 2018-April. p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Systolic arrays
Particle accelerators
Tensors
Neural networks
Processing