Faculty

Institution

Unit

Venue

Pierre Moulin

Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Pierre Moulin is currently serving as an Electrical And Computer Engineering Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Pierre Moulin

UIUC

Professor

You can click a keyword to filter the displayed items

computer science signal processing digital signal processing image analysis data science applied mathematics digital image processing information security image representation communication security computer security data security multimedia information processing information forensics computer vision pattern recognition machine vision computational imaging statistics multimedia security machine learning research digital watermarking computational statistics information hiding estimation theory data hiding information fusion cryptographic hardware information theory image coding image restoration image compression wireless communications channel capacity estimation wavelet theory image denoising multimedia modeling mathematical optimization feature learning activity recognition signal reconstruction discrete algorithms fingerprint analysis steganography variable-length code error correction code video processing quantization (signal processing) algebraic coding theory image gallery attack model multimedia retrieval video understanding motion analysis statistical signal processing error exponents channel characterization image classification radar signal processing mutual information cryptanalysis steganalysis radar applications sensitivity analysis attacks desynchronization attacks wavelet coefficients content identification information-theoretic analysis target recognition performance image watermarking host image nonparametric approach face recognition spread-spectrum watermarking label fields video coding computational intelligence machine learning pattern recognition application statistical pattern recognition

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations. IEEE Transactions on Information Forensics and Security (2024)

Yuanyuan QingTao BaiZhuotao LiuPierre MoulinBihan Wen

computer sciencedeep learningadversarial machine learningdisentangling natural imagesgenerative adversarial networksadversarial attacksneural network (machine learning)machine learning researchdata scienceimage representationaddnp algorithmmachine learning

Deep Semi-Supervised Metric Learning With Mixed Label Propagation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)

Furen ZhuangPierre Moulin

computer scienceknowledge discoverymixed label propagationdeep learningnormalized mutual informationsupervised learningsemi-supervised learninglabel propagationmachine learning researchsimilarity searchdata sciencenatural language processinginformation retrievalpattern recognitionmachine learning

Label-Consistent Generalizable Hash Codes. IEEE Transactions on Information Forensics and Security (2023)

Furen ZhuangPierre Moulin

computer scienceknowledge discoveryhash codessupervised learningsemantic evaluationlabel-consistent generalized hashingdata miningmachine learning researchdata sciencelabel informationinformation retrievalpattern recognitionmachine learninghash functions

Fast Locally Optimal Detection of Targeted Universal Adversarial Perturbations. IEEE Transactions on Information Forensics and Security (2022)

Amish GoelPierre Moulin

computer sciencedeep learningadversarial machine learningsurrogate distributionsupervised learningprn detectorgaussian distributionmachine learning researchcomputational intelligencedata sciencemachine learning

Improving Adversarial Robustness by Learning Shared Information. Pattern Recognition (2022)

Xi YuNiklas Smedemark-MarguliesShuchin AeronToshiaki Koike-AkinoPierre MoulinMatthew BrandKieran ParsonsYe Wang

artificial intelligencecomputer sciencedeep learningadversarial machine learninggenerative adversarial networksadversarial robustnessmachine learning researchcomputational intelligencerobustness (computer science)machine learning

Deep Semi-Supervised Metric Learning via Identification of Manifold Memberships. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021)

Furen ZhuangPierre Moulin

information fusioncomputer sciencesemi-supervised metric learninggeometric learningknowledge discoveryanchor pointsdeep learningsemi-supervised learningsupervised learningmanifold membershipsmachine learning researchmanifold learningdata scienceself-supervised learningmachine learning

Robust Machine Learning via Privacy/ Rate-Distortion Theory. 2022 IEEE International Symposium on Information Theory (ISIT) (2021)

Ye WangShuchin AeronAdnan Siraj RakinToshiaki Koike-AkinoPierre Moulin

mathematical optimizationcomputer sciencefundamental tradeoffperturbation constraintsdeep learningadversarial machine learningprivacy protectiondata privacyrobust machine learningdifferential privacyneural network (machine learning)machine learning researchcomputational intelligencedata sciencerobustness (computer science)machine learning

Towards Universal Adversarial Examples and Defenses. 2022 IEEE Information Theory Workshop (ITW) (2021)

Adnan Siraj RakinYe WangShuchin AeronToshiaki Koike-AkinoPierre MoulinKieran Parsons

artificial intelligencecomputer sciencemutual informationdeep learningadversarial machine learningdata privacygenerative adversarial networksuniversal defensesdata securityneural network (machine learning)machine learning researchcomputational intelligencedata scienceadversarial examplesmachine learning

A New Variational Method for Deep Supervised Semantic Image Hashing. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020)

Furen ZhuangPierre Moulin

computer sciencecomputer visiondeep learninghash bitsfeature learningneural network (machine learning)perceptual hashingmachine learning researchautoencodersdata scienceimage representationsemantic image hashingdatabase image sampleimage analysismachine learning

Detecting Audio Attacks on Asr Systems With Dropout Uncertainty. Interspeech 2022 (2020)

Tejas JayashankarJonathan Le RouxPierre Moulin

computer sciencespoken language technologysignal processingdeep learningadversarial machine learningspeech processingasr systemsneural network (machine learning)commonvoice datasetdata sciencespeech recognitiondropout uncertaintyrobust speech recognitionmachine learningnoise

1
2
3
4
5
27
10 / page

Pierre Moulin

Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Pierre Moulin is currently serving as an Electrical And Computer Engineering Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Pierre Moulin

UIUC

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations. IEEE Transactions on Information Forensics and Security (2024)

Yuanyuan QingTao BaiZhuotao LiuPierre MoulinBihan Wen

Deep Semi-Supervised Metric Learning With Mixed Label Propagation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)

Furen ZhuangPierre Moulin

Label-Consistent Generalizable Hash Codes. IEEE Transactions on Information Forensics and Security (2023)

Furen ZhuangPierre Moulin

Fast Locally Optimal Detection of Targeted Universal Adversarial Perturbations. IEEE Transactions on Information Forensics and Security (2022)

Amish GoelPierre Moulin

Improving Adversarial Robustness by Learning Shared Information. Pattern Recognition (2022)

Xi YuNiklas Smedemark-MarguliesShuchin AeronToshiaki Koike-AkinoPierre MoulinMatthew BrandKieran ParsonsYe Wang

Deep Semi-Supervised Metric Learning via Identification of Manifold Memberships. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021)

Furen ZhuangPierre Moulin

Robust Machine Learning via Privacy/ Rate-Distortion Theory. 2022 IEEE International Symposium on Information Theory (ISIT) (2021)

Ye WangShuchin AeronAdnan Siraj RakinToshiaki Koike-AkinoPierre Moulin

Towards Universal Adversarial Examples and Defenses. 2022 IEEE Information Theory Workshop (ITW) (2021)

Adnan Siraj RakinYe WangShuchin AeronToshiaki Koike-AkinoPierre MoulinKieran Parsons

A New Variational Method for Deep Supervised Semantic Image Hashing. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020)

Furen ZhuangPierre Moulin

Detecting Audio Attacks on Asr Systems With Dropout Uncertainty. Interspeech 2022 (2020)

Tejas JayashankarJonathan Le RouxPierre Moulin

1
2
3
4
5
27
10 / page