b'Haitao Zheng'

research

∙ 04/10/2023

Investigating Graph Structure Information for Entity Alignment with Dangling Cases

Entity alignment (EA) aims to discover the equivalent entities in differ...

0 Jin Xu, et al. ∙

research

∙ 02/21/2023

Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker

Finding classifiers robust to adversarial examples is critical for their...

2 Sihui Dai, et al. ∙

research

∙ 02/08/2023

GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models

Recent text-to-image diffusion models such as MidJourney and Stable Diff...

1 Shawn Shan, et al. ∙

research

∙ 11/22/2022

Visually Grounded Commonsense Knowledge Acquisition

Large-scale commonsense knowledge bases empower a broad range of AI appl...

0 Yuan Yao, et al. ∙

research

∙ 10/19/2022

Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction

Chinese Grammatical Error Correction (CGEC) is both a challenging NLP ta...

0 Shirong Ma, et al. ∙

research

∙ 10/19/2022

Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking

Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...

0 Yinghui Li, et al. ∙

research

∙ 06/21/2022

Natural Backdoor Datasets

Extensive literature on backdoor poison attacks has studied attacks and ...

0 Emily Wenger, et al. ∙

research

∙ 06/08/2022

Can Backdoor Attacks Survive Time-Varying Models?

Backdoors are powerful attacks against deep neural networks (DNNs). By p...

0 Huiying Li, et al. ∙

research

∙ 06/06/2022

Global Mixup: Eliminating Ambiguity with Clustering

Data augmentation with Mixup has been proven an effective method to regu...

0 Xiangjin Xie, et al. ∙

research

∙ 05/21/2022

Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models

Server breaches are an unfortunate reality on today's Internet. In the c...

0 Shawn Shan, et al. ∙

research

∙ 02/11/2022

Assessing Privacy Risks from Feature Vector Reconstruction Attacks

In deep neural networks for facial recognition, feature vectors are nume...

2 Emily Wenger, et al. ∙

research

∙ 12/08/2021

SoK: Anti-Facial Recognition Technology

The rapid adoption of facial recognition (FR) technology by both governm...

0 Emily Wenger, et al. ∙

research

∙ 10/13/2021

Traceback of Data Poisoning Attacks in Neural Networks

In adversarial machine learning, new defenses against attacks on deep le...

0 Shawn Shan, et al. ∙

research

∙ 09/20/2021

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Advances in deep learning have introduced a new wave of voice synthesis ...

11 Emily Wenger, et al. ∙

research

∙ 08/30/2021

ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding

Language understanding in speech-based systems have attracted much atten...

3 Lingyun Feng, et al. ∙

research

∙ 05/18/2021

Towards Performance Clarity of Edge Video Analytics

Edge video analytics is becoming the solution to many safety and managem...

0 Zhujun Xiao, et al. ∙

research

∙ 05/16/2021

Understanding the Effect of Bias in Deep Anomaly Detection

Anomaly detection presents a unique challenge in machine learning, due t...

15 Ziyu Ye, et al. ∙

research

∙ 02/08/2021

A Real-time Defense against Website Fingerprinting Attacks

Anonymity systems like Tor are vulnerable to Website Fingerprinting (WF)...

0 Shawn Shan, et al. ∙

research

∙ 06/25/2020

Backdoor Attacks on Facial Recognition in the Physical World

Backdoor attacks embed hidden malicious behaviors inside deep neural net...

0 Emily Wenger, et al. ∙

research

∙ 06/24/2020

Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks

The vulnerability of deep neural networks (DNNs) to adversarial examples...

12 Huiying Li, et al. ∙

research

∙ 02/19/2020

Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models

Today's proliferation of powerful facial recognition models poses a real...

2 Shawn Shan, et al. ∙

research

∙ 12/03/2019

Trimming Mobile Applications for Bandwidth-Challenged Networks in Developing Regions

Despite continuous efforts to build and update network infrastructure, m...

0 Qinge Xie, et al. ∙

research

∙ 10/02/2019

Persistent and Unforgeable Watermarks for Deep Neural Networks

As deep learning classifiers continue to mature, model providers with su...

0 Huiying Li, et al. ∙

research

∙ 05/24/2019

Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks

Recent work has proposed the concept of backdoor attacks on deep neural ...

0 Yuanshun Yao, et al. ∙

research

∙ 04/18/2019

Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks

Deep neural networks are vulnerable to adversarial attacks. Numerous eff...

0 Shawn Shan, et al. ∙

research

∙ 04/17/2019

Understanding the Effectiveness of Ultrasonic Microphone Jammer

Recent works have explained the principle of using ultrasonic transmissi...

0 Yuxin Chen, et al. ∙

research

∙ 10/24/2018

Wireless Side-Lobe Eavesdropping Attacks

Millimeter-wave wireless networks offer high throughput and can (ideally...

0 Yanzi Zhu, et al. ∙

research

∙ 10/23/2018

Adversarial WiFi Sensing using a Single Smartphone

Wireless devices are everywhere, at home, at the office, and on the stre...

0 Yanzi Zhu, et al. ∙

research

∙ 10/23/2018

Adversarial WiFi Sensing

Wireless devices are everywhere, at home, at the office, and on the stre...

0 Yanzi Zhu, et al. ∙

research

∙ 09/22/2018

Seeding Deep Learning using Wireless Localization

Deep learning is often constrained by the lack of large, diverse labeled...

0 Zhujun Xiao, et al. ∙

Haitao Zheng

Featured Co-authors