no code implementations • EMNLP 2021 • Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen
However, the source and target domains usually have different data distributions, which may lead to negative transfer.
no code implementations • 5 Feb 2024 • Anna Yoo Jeong Ha, Josephine Passananti, Ronik Bhaskar, Shawn Shan, Reid Southen, Haitao Zheng, Ben Y. Zhao
We curate real human art across 7 styles, generate matching images from 5 generative models, and apply 8 detectors (5 automated detectors and 3 different human groups including 180 crowdworkers, 4000+ professional artists, and 13 expert artists experienced at detecting AI).
no code implementations • 17 Jan 2024 • Wenxin Ding, Arjun Nitin Bhagoji, Ben Y. Zhao, Haitao Zheng
In this paper, we explore the feasibility of generating multiple versions of a model that possess different attack properties, without acquiring new training data or changing model architecture.
no code implementations • 20 Oct 2023 • Shawn Shan, Wenxin Ding, Josephine Passananti, Stanley Wu, Haitao Zheng, Ben Y. Zhao
In this paper, we show that poisoning attacks can be successful on generative models.
no code implementations • 10 Apr 2023 • Jin Xu, Yangning Li, Xiangjin Xie, Yinghui Li, Niu Hu, Haitao Zheng, Yong Jiang
To improve the exploitation of the structural information, we propose a novel entity alignment framework called Weakly-Optimal Graph Contrastive Learning (WOGCL), which is refined on three dimensions : (i) Model.
no code implementations • 21 Feb 2023 • Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Ben Y. Zhao, Haitao Zheng, Prateek Mittal
Finding classifiers robust to adversarial examples is critical for their safe deployment.
2 code implementations • 19 Oct 2022 • Shirong Ma, Yinghui Li, Rongyi Sun, Qingyu Zhou, Shulin Huang, Ding Zhang, Li Yangning, Ruiyang Liu, Zhongli Li, Yunbo Cao, Haitao Zheng, Ying Shen
Extensive experiments and detailed analyses not only demonstrate that the training data constructed by our method effectively improves the performance of CGEC models, but also reflect that our benchmark is an excellent resource for further development of the CGEC field.
1 code implementation • 19 Oct 2022 • Yinghui Li, Shirong Ma, Qingyu Zhou, Zhongli Li, Li Yangning, Shulin Huang, Ruiyang Liu, Chao Li, Yunbo Cao, Haitao Zheng
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors.
1 code implementation • 21 Jun 2022 • Emily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji, Josephine Passananti, Emilio Andere, Haitao Zheng, Ben Y. Zhao
Research on physical backdoors is limited by access to large datasets containing real images of physical objects co-located with targets of classification.
1 code implementation • 20 Jun 2022 • Christian Cianfarani, Arjun Nitin Bhagoji, Vikash Sehwag, Ben Y. Zhao, Prateek Mittal, Haitao Zheng
Representation learning, i. e. the generation of representations useful for downstream applications, is a task of fundamental importance that underlies much of the success of deep neural networks (DNNs).
no code implementations • 8 Jun 2022 • Huiying Li, Arjun Nitin Bhagoji, Yuxin Chen, Haitao Zheng, Ben Y. Zhao
Existing research on training-time attacks for deep neural networks (DNNs), such as backdoors, largely assume that models are static once trained, and hidden backdoors trained into models remain active indefinitely.
no code implementations • 6 Jun 2022 • Xiangjin Xie, Yangning Li, Wang Chen, Kai Ouyang, Li Jiang, Haitao Zheng
(2) linear combination significantly limits the sampling space for generating samples.
no code implementations • 11 Feb 2022 • Emily Wenger, Francesca Falzon, Josephine Passananti, Haitao Zheng, Ben Y. Zhao
In deep neural networks for facial recognition, feature vectors are numerical representations that capture the unique features of a given face.
no code implementations • 8 Dec 2021 • Emily Wenger, Shawn Shan, Haitao Zheng, Ben Y. Zhao
The rapid adoption of facial recognition (FR) technology by both government and commercial entities in recent years has raised concerns about civil liberties and privacy.
no code implementations • 13 Oct 2021 • Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
We propose a novel iterative clustering and pruning solution that trims "innocent" training samples, until all that remains is the set of poisoned data responsible for the attack.
no code implementations • 20 Sep 2021 • Emily Wenger, Max Bronckers, Christian Cianfarani, Jenna Cryan, Angela Sha, Haitao Zheng, Ben Y. Zhao
Advances in deep learning have introduced a new wave of voice synthesis tools, capable of producing audio that sounds as if spoken by a target speaker.
no code implementations • 30 Aug 2021 • Lingyun Feng, Jianwei Yu, Deng Cai, Songxiang Liu, Haitao Zheng, Yan Wang
%To facilitate the research on ASR-robust general language understanding, In this paper, we propose ASR-GLUE benchmark, a new collection of 6 different NLU tasks for evaluating the performance of models under ASR error across 3 different levels of background noise and 6 speakers with various voice characteristics.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 16 May 2021 • Ziyu Ye, Yuxin Chen, Haitao Zheng
We also provide an extensive empirical study on how a biased training anomaly set affects the anomaly score function and therefore the detection performance on different anomaly classes.
no code implementations • 8 Feb 2021 • Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao
We experimentally demonstrate that Dolos provides 94+% protection against state-of-the-art WF attacks under a variety of settings.
Website Fingerprinting Attacks Cryptography and Security
1 code implementation • 1 Jan 2021 • Ziyu Ye, Yuxin Chen, Haitao Zheng
Given two different anomaly score functions, we formally define their difference in performance as the relative scoring bias of the anomaly detectors.
Semi-supervised Anomaly Detection Supervised Anomaly Detection +1
no code implementations • COLING 2020 • Liuyin Wang, Zihan Xu, Zibo Lin, Haitao Zheng, Ying Shen
First, we propose an answer-aware initialization module with a gated connection layer which introduces both document and answer information to the decoder, thus helping to guide the choice of answer-focused question words.
no code implementations • COLING 2020 • Dong Wang, Ziran Li, Haitao Zheng, Ying Shen
Dialogue Act Recognition (DAR) is a challenging problem in Natural Language Understanding, which aims to attach Dialogue Act (DA) labels to each utterance in a conversation.
no code implementations • COLING 2020 • Dongming Sheng, Dong Wang, Ying Shen, Haitao Zheng, Haozhuang Liu
Local dependencies, which captures short-term emotional effects between neighbouring utterances, are further injected via an Aggregation Graph to distinguish the subtle differences between utterances containing emotional phrases.
Ranked #29 on Emotion Recognition in Conversation on IEMOCAP
no code implementations • CVPR 2021 • Emily Wenger, Josephine Passananti, Arjun Bhagoji, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao
A critical question remains unanswered: can backdoor attacks succeed using physical objects as triggers, thus making them a credible threat against deep learning systems in the real world?
1 code implementation • 2 Oct 2019 • Huiying Li, Emily Wenger, Shawn Shan, Ben Y. Zhao, Haitao Zheng
We empirically show that our proposed watermarks achieve piracy resistance and other watermark properties, over a wide range of tasks and models.
1 code implementation • 23 Oct 2018 • Yanzi Zhu, Zhujun Xiao, Yuxin Chen, Zhijing Li, Max Liu, Ben Y. Zhao, Haitao Zheng
Our work demonstrates a new set of silent reconnaissance attacks, which leverages the presence of commodity WiFi devices to track users inside private homes and offices, without compromising any WiFi network, data packets, or devices.
Cryptography and Security