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Found 6 papers, 0 papers with code
Neural Trojans
In many cases, it is more practical to use a neural network intellectual property (IP) that an IP vendor has already trained.
Cryptography and Security
Robust and Attack Resilient Logic Locking with a High Application-Level Impact
(3) Our experiments show that SAS and RSAS exhibit better SAT resilience than SFLL and have similar effectiveness.
Cryptography and Security Hardware Architecture Formal Languages and Automata Theory
HBert + BiasCorp -- Fighting Racism on the Web
In this work, we present hBERT, where we modify certain layers of the pretrained BERT model with the new Hopfield Layer.
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction
Identifying and discovering drug-target interactions(DTIs) are vital steps in drug discovery and development.
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference
To address this problem with co-occurring M-bias and confounding bias, we propose a novel Disentangled Latent Representation learning framework for learning latent representations from proxy variables for unbiased Causal effect Estimation (DLRCE) from observational data.
CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization
In the LongSumm shared task, we integrate both the extractive and abstractive summarization ways.
