Faculty

Institution

Unit

Venue

Pierre Moulin

Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Pierre Moulin is currently serving as an Electrical And Computer Engineering Professor at University of Illinois Urbana-Champaign.

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

University of Illinois Urbana-Champaign

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 host image image watermarking nonparametric approach face recognition spread-spectrum watermarking label fields video coding statistical pattern recognition computational intelligence pattern recognition application machine learning

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

disentangling natural imagesimage representationmachine learning researchcomputer sciencemachine learningadversarial machine learningdata scienceaddnp algorithmadversarial attacksgenerative adversarial networksdeep learningneural network (machine 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

pattern recognitionmachine learning researchsimilarity searchsemi-supervised learningnatural language processingcomputer sciencesupervised learningmachine learningmixed label propagationdata sciencenormalized mutual informationlabel propagationinformation retrievalknowledge discoverydeep learning

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

Furen ZhuangPierre Moulin

pattern recognitionmachine learning researchdata miningsemantic evaluationhash codescomputer sciencesupervised learningmachine learninghash functionsdata sciencelabel-consistent generalized hashinginformation retrievalknowledge discoverylabel information

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

Amish GoelPierre Moulin

computational intelligencemachine learning researchsurrogate distributioncomputer sciencesupervised learningmachine learningadversarial machine learningdata sciencegaussian distributionprn detectordeep learning

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

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

robustness (computer science)computational intelligencemachine learning researchcomputer sciencemachine learningadversarial machine learningadversarial robustnessartificial intelligencegenerative adversarial networksdeep 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

anchor pointsmachine learning researchsemi-supervised learninggeometric learningcomputer sciencesupervised learningmachine learningdata sciencemanifold learninginformation fusionmanifold membershipssemi-supervised metric learningself-supervised learningknowledge discoverydeep 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 optimizationrobustness (computer science)computational intelligencemachine learning researchcomputer sciencedifferential privacymachine learningadversarial machine learningdata sciencedata privacyprivacy protectionperturbation constraintsfundamental tradeoffrobust machine learningdeep learningneural network (machine learning)

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

Adnan Siraj RakinYe WangShuchin AeronToshiaki Koike-AkinoPierre MoulinKieran Parsons

computational intelligencemachine learning researchdata securityuniversal defensescomputer sciencemachine learningadversarial machine learningdata scienceartificial intelligencedata privacymutual informationgenerative adversarial networksdeep learningadversarial examplesneural network (machine 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

deep learningimage representationperceptual hashingautoencodersmachine learning researchfeature learningsemantic image hashinghash bitscomputer sciencedatabase image samplemachine learningdata scienceimage analysiscomputer visionneural network (machine learning)

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

Tejas JayashankarJonathan Le RouxPierre Moulin

robust speech recognitioncommonvoice datasetcomputer sciencemachine learningadversarial machine learningdata scienceasr systemsspoken language technologyspeech processingspeech recognitionsignal processingnoisedeep learningdropout uncertaintyneural network (machine learning)

1
2
3
4
5
27
10 / page

Pierre Moulin

Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Pierre Moulin is currently serving as an Electrical And Computer Engineering Professor at University of Illinois Urbana-Champaign.

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

University of Illinois Urbana-Champaign

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

Similar Faculty Members

Olgica Milenkovic

Institution

University of Illinois Urbana-Champaign

data science

information theory

Pramod Viswanath

Institution

University of Illinois Urbana-Champaign

communication security

cryptographic technology

Yoram Bresler

Institution

University of Illinois Urbana-Champaign

data science

applied mathematics

Maxim Raginsky

Institution

University of Illinois Urbana-Champaign

applied mathematics

information theory

Aaron B. Wagner

Institution

Cornell University

information theory

communication

Venugopal Varadachari Veeravalli

Institution

University of Illinois Urbana-Champaign

wireless sensor network

applied mathematics

Lav R Varshney

Institution

University of Illinois Urbana-Champaign

information theory

intelligent computing

Andrew Singer

Institution

University of Illinois Urbana-Champaign

technology

underwater acoustic communication

Minh N Do

Institution

University of Illinois Urbana-Champaign

biomedical imaging

biomedical computing

Ziv Goldfeld

Institution

Cornell University

information theory

computational thinking

Similar Faculty Members

Olgica Milenkovic

Institution

University of Illinois Urbana-Champaign

data science

information theory

Pramod Viswanath

Institution

University of Illinois Urbana-Champaign

communication security

cryptographic technology

Yoram Bresler

Institution

University of Illinois Urbana-Champaign

data science

applied mathematics

Maxim Raginsky

Institution

University of Illinois Urbana-Champaign

applied mathematics

information theory

Aaron B. Wagner

Institution

Cornell University

information theory

communication

Venugopal Varadachari Veeravalli

Institution

University of Illinois Urbana-Champaign

wireless sensor network

applied mathematics

Lav R Varshney

Institution

University of Illinois Urbana-Champaign

information theory

intelligent computing

Andrew Singer

Institution

University of Illinois Urbana-Champaign

technology

underwater acoustic communication

Minh N Do

Institution

University of Illinois Urbana-Champaign

biomedical imaging

biomedical computing

Ziv Goldfeld

Institution

Cornell University

information theory

computational thinking