b'Yi Zeng'

research

∙ 06/04/2023

Revisiting Data-Free Knowledge Distillation with Poisoned Teachers

Data-free knowledge distillation (KD) helps transfer knowledge from a pr...

0 Junyuan Hong, et al. ∙

research

∙ 05/17/2023

Spiking Generative Adversarial Network with Attention Scoring Decoding

Generative models based on neural networks present a substantial challen...

8 Linghao Feng, et al. ∙

research

∙ 04/28/2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms

Traditionally, data valuation is posed as a problem of equitably splitti...

4 Hoang Anh Just, et al. ∙

research

∙ 04/21/2023

Emergence of Brain-inspired Small-world Spiking Neural Network through Neuroevolution

Human brain is the product of evolution during hundreds over millions of...

7 Wenxuan Pan, et al. ∙

research

∙ 04/13/2023

Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future

Spiking neural networks have attracted extensive attention from research...

15 Yiting Dong, et al. ∙

research

∙ 03/31/2023

Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks

The architecture design and multi-scale learning principles of the human...

6 Wenxuan Pan, et al. ∙

research

∙ 03/22/2023

Brain-inspired bodily self-perception model that replicates the rubber hand illusion

At the core of bodily self-consciousness is the perception of the owners...

4 Yuxuan Zhao, et al. ∙

research

∙ 02/22/2023

ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms

Backdoor data detection is traditionally studied in an end-to-end superv...

6 Minzhou Pan, et al. ∙

research

∙ 01/29/2023

Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns

Spiking Neural Networks (SNNs) use discrete spike sequences to transmit ...

0 Guobin Shen, et al. ∙

research

∙ 01/18/2023

Multi-compartment Neuron and Population Encoding improved Spiking Neural Network for Deep Distributional Reinforcement Learning

Inspired by the information processing with binary spikes in the brain, ...

15 Yinqian Sun, et al. ∙

research

∙ 01/07/2023

A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering

Reasoning and question answering as a basic cognitive function for human...

9 Yao Liang, et al. ∙

research

∙ 01/05/2023

FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks with Efficient DSP and Memory Optimization

Spiking neural networks (SNNs) have been widely used due to their strong...

0 Jindong Li, et al. ∙

research

∙ 11/23/2022

Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks

Developmental plasticity plays a prominent role in shaping the brain's s...

0 Bing Han, et al. ∙

research

∙ 11/22/2022

Adaptive Sparse Structure Development with Pruning and Regeneration for Spiking Neural Networks

Spiking Neural Networks (SNNs) are more biologically plausible and compu...

0 Bing Han, et al. ∙

research

∙ 11/02/2022

tSF: Transformer-based Semantic Filter for Few-Shot Learning

Few-Shot Learning (FSL) alleviates the data shortage challenge via embed...

0 Jinxiang Lai, et al. ∙

research

∙ 10/12/2022

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

Given the volume of data needed to train modern machine learning models,...

25 Yi Zeng, et al. ∙

research

∙ 09/19/2022

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks

Previous works have validated that text generation APIs can be stolen th...

0 Xuanli He, et al. ∙

research

∙ 08/08/2022

Abutting Grating Illusion: Cognitive Challenge to Neural Network Models

Even the state-of-the-art deep learning models lack fundamental abilitie...

4 Jinyu Fan, et al. ∙

research

∙ 07/11/2022

Brain-inspired Graph Spiking Neural Networks for Commonsense Knowledge Representation and Reasoning

How neural networks in the human brain represent commonsense knowledge, ...

5 Hongjian Fang, et al. ∙

research

∙ 06/14/2022

Turning a Curse Into a Blessing: Enabling Clean-Data-Free Defenses by Model Inversion

It is becoming increasingly common to utilize pre-trained models provide...

7 Si Chen, et al. ∙

research

∙ 05/24/2022

EventMix: An Efficient Augmentation Strategy for Event-Based Data

High-quality and challenging event stream datasets play an important rol...

10 Guobin Shen, et al. ∙

research

∙ 05/24/2022

DPSNN: A Differentially Private Spiking Neural Network

Privacy-preserving is a key problem for the machine learning algorithm. ...

10 Jihang Wang, et al. ∙

research

∙ 04/11/2022

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

Backdoor attacks insert malicious data into a training set so that, duri...

13 Yi Zeng, et al. ∙

research

∙ 03/18/2022

FORCE: A Framework of Rule-Based Conversational Recommender System

The conversational recommender systems (CRSs) have received extensive at...

5 Jun Quan, et al. ∙

research

∙ 10/17/2021

Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks

The spiking neural network (SNN) mimics the information processing opera...

0 Guobin Shen, et al. ∙

research

∙ 10/07/2021

Adversarial Unlearning of Backdoors via Implicit Hypergradient

We propose a minimax formulation for removing backdoors from a given poi...

0 Yi Zeng, et al. ∙

research

∙ 06/10/2021

A Unified Framework for Task-Driven Data Quality Management

High-quality data is critical to train performant Machine Learning (ML) ...

0 Tianhao Wang, et al. ∙

research

∙ 04/07/2021

Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective

Backdoor attacks have been considered a severe security threat to deep l...

5 Yi Zeng, et al. ∙

research

∙ 03/27/2021

SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition

Gait recognition plays a vital role in human identification since gait i...

0 Yiqun Liu, et al. ∙

research

∙ 12/13/2020

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation

Public resources and services (e.g., datasets, training platforms, pre-t...

0 Yi Zeng, et al. ∙

research

∙ 12/03/2020

FenceBox: A Platform for Defeating Adversarial Examples with Data Augmentation Techniques

It is extensively studied that Deep Neural Networks (DNNs) are vulnerabl...

0 Han Qiu, et al. ∙

research

∙ 10/23/2020

Quantum Superposition Spiking Neural Network

Quantum brain as a novel hypothesis states that some non-trivial mechani...

0 Yinqian Sun, et al. ∙

research

∙ 09/18/2020

The Hidden Vulnerability of Watermarking for Deep Neural Networks

Watermarking has shown its effectiveness in protecting the intellectual ...

39 Shangwei Guo, et al. ∙

research

∙ 07/30/2020

A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks

Deep Neural Networks (DNNs) in Computer Vision (CV) are well-known to be...

0 Yi Zeng, et al. ∙

research

∙ 06/07/2020

SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds

Accurate 3D object detection from point clouds has become a crucial comp...

0 Qingdong He, et al. ∙

research

∙ 05/27/2020

Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques

Deep Neural Networks (DNNs) are well-known to be vulnerable to Adversari...

0 Han Qiu, et al. ∙

research

∙ 09/19/2019

Responsible Facial Recognition and Beyond

Facial recognition is changing the way we live in and interact with our ...

0 Yi Zeng, et al. ∙

research

∙ 08/26/2019

TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction

With more encrypted network traffic gets involved in the Internet, how t...

0 Yi Zeng, et al. ∙

research

∙ 08/20/2019

Towards High-Resolution Salient Object Detection

Deep neural network based methods have made a significant breakthrough i...

17 Yi Zeng, et al. ∙

research

∙ 08/14/2019

FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition

Named entity recognition (NER) is a foundational technology for informat...

0 Hongyin Zhu, et al. ∙

research

∙ 12/12/2018

Linking Artificial Intelligence Principles

Artificial Intelligence principles define social and ethical considerati...

0 Yi Zeng, et al. ∙

Yi Zeng

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