20042019
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Fingerprint Weighted list of dominant concepts in the person's research.

  • 2 Similar Profiles
Silicon Engineering & Materials Science
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Hardware Engineering & Materials Science
Integrated circuits Engineering & Materials Science
Systolic arrays Engineering & Materials Science
Intellectual property Engineering & Materials Science
Reverse engineering Engineering & Materials Science

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Research Output 2004 2019

A Concentration of Measure Approach to Database De-anonymization

Shirani, F., Garg, S. & Erkip, E., Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2748-2752 5 p. 8849392. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).

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

Concentration of Measure
Necessary Conditions
Law of large numbers
Joint Distribution
Converse

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

Compact: On-chip compression of activations for low power systolic array based CNN acceleration

Zhang, J., Raj, P., Zarar, S., Ambardekar, A. & Garg, S., Oct 2019, In : ACM Transactions on Embedded Computing Systems. 18, 5s, a47.

Research output: Contribution to journalArticle

Systolic arrays
Chemical activation
Neural networks
Particle accelerators
Network layers

Enabling Timing Error Resilience for Low-Power Systolic-Array Based Deep Learning Accelerators

Zhang, J., Ghodsi, Z., Rangineni, K. & Garg, S., Jan 1 2019, (Accepted/In press) In : IEEE Design and Test.

Research output: Contribution to journalArticle

Systolic arrays
Particle accelerators
Energy efficiency
Image recognition
Speech recognition

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