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EXMA: A Genomics Accelerator for Exact-Matching
Genomics is the foundation of precision medicine, global food security a...
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CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU
Billions of text analysis requests containing private emails, personal t...
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Helix: Algorithm/Architecture Co-design for Accelerating Nanopore Genome Base-calling
Nanopore genome sequencing is the key to enabling personalized medicine,...
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AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Hybrid Privacy-Preserving Neural Network (HPPNN) implementing linear lay...
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Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
Segmentation from renal pathological images is a key step in automatic a...
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Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
Big data is one of the cornerstones to enabling and training deep neural...
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Liger: Combining Interaction Paradigms for Visual Analysis
Visualization tools usually leverage a single interaction paradigm (e.g....
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SHE: A Fast and Accurate Privacy-Preserving Deep Neural Network Via Leveled TFHE and Logarithmic Data Representation
Homomorphic Encryption (HE) is one of the most promising security soluti...
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A GraphBLAS Approach for Subgraph Counting
Subgraph counting aims to count the occurrences of a subgraph template T...
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AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices
In this paper, we propose a hierarchical deep reinforcement learning (DR...
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Pose Invariant 3D Face Reconstruction
3D face reconstruction is an important task in the field of computer vis...
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High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
Subgraph counting aims to count the number of occurrences of a subgraph ...
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PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning
One of the most exciting advancements in AI over the last decade is the ...
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DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework
As one of most fascinating machine learning techniques, deep neural netw...
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