Edward Raff

Tim Oates

CoRR, 2023

DDxT: Deep Generative Transformer Models for Differential Diagnosis.

[BibT_eX]

[DOI]

Tim Oates

CoRR, 2023

Exploring the Sharpened Cosine Similarity.

[BibT_eX]

[DOI]

CoRR, 2023

You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks.

[BibT_eX]

[DOI]

Michel Benaroch

Andrew L. Farris

CoRR, 2023

Sparse Private LASSO Logistic Regression.

[BibT_eX]

[DOI]

CoRR, 2023

The Challenge of Differentially Private Screening Rules.

[BibT_eX]

[DOI]

Amol Khanna

CoRR, 2023

Measuring Equality in Machine Learning Security Defenses.

[BibT_eX]

[DOI]

CoRR, 2023

MOTIF: A Malware Reference Dataset with Ground Truth Family Labels.

[BibT_eX]

[DOI]

Comput. Secur., 2023

Marvolo: Programmatic Data Augmentation for Deep Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

cuSLINK: Single-Linkage Agglomerative Clustering on the GPU.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations.

[BibT_eX]

[DOI]

Amol Khanna

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergent and Predictable Memorization in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LEACE: Perfect linear concept erasure in closed form.

[BibT_eX]

[DOI]

Nora Belrose

David Schneider-Joseph

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023), 2023

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

[BibT_eX]

[DOI]

Stella Biderman

Hailey Schoelkopf

Quentin Gregory Anthony

Proceedings of the International Conference on Machine Learning, 2023

Recasting Self-Attention with Holographic Reduced Representations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Neural Bregman Divergences for Distance Learning.

[BibT_eX]

[DOI]

Francis Ferraro

Proceedings of the Eleventh International Conference on Learning Representations, 2023

When Visible-to-Thermal Facial GAN Beats Conditional Diffusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

Vista Morph - Unsupervised Image Registration of Visible-Thermal Facial Pairs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Joint Conference on Biometrics, 2023

An Easy Rejection Sampling Baseline via Gradient Refined Proposals.

[BibT_eX]

[DOI]

Mark McLean

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Does Starting Deep Learning Homework Earlier Improve Grades?

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile.

[BibT_eX]

[DOI]

Elliott Zaresky-Williams

Brian Testa

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

Differentially Private Logistic Regression with Sparse Solutions.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!

[BibT_eX]

[DOI]

Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers.

[BibT_eX]

[DOI]

Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

A Siren Song of Open Source Reproducibility, Examples from Machine Learning.

[BibT_eX]

[DOI]

Andrew L. Farris

Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, 2023

Does the Market of Citations Reward Reproducible Work?

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, 2023

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting.

[BibT_eX]

[DOI]

David Ifeoluwa Adelani

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Crosslingual Generalization through Multitask Finetuning.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Coreset Learning Reality Check.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2022

Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection.

[BibT_eX]

[DOI]

CoRR, 2022

A Siren Song of Open Source Reproducibility.

[BibT_eX]

[DOI]

Andrew L. Farris

CoRR, 2022

Intelligent Sight and Sound: A Chronic Cancer Pain Dataset.

[BibT_eX]

[DOI]

CoRR, 2022

Artificial Intelligence for Cyber Security (AICS).

[BibT_eX]

[DOI]

CoRR, 2022

Neural Language Models are Effective Plagiarists.

[BibT_eX]

[DOI]

Stella Biderman

CoRR, 2022

Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time.

[BibT_eX]

[DOI]

Robert J. Joyce

CoRR, 2022

Continuously Generalized Ordinal Regression for Linear and Deep Models.

[BibT_eX]

[DOI]

Francis Ferraro

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A General Framework for Auditing Differentially Private Machine Learning.

[BibT_eX]

[DOI]

Elliott Zaresky-Williams

Francis Ferraro

Brian Testa

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GPU Semiring Primitives for Sparse Neighborhood Methods.

[BibT_eX]

[DOI]

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations.

[BibT_eX]

[DOI]

Tim Oates

Proceedings of the International Conference on Machine Learning, 2022

Lempel-Ziv Networks.

[BibT_eX]

[DOI]

Rebecca Saul

Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Fooling MOSS Detection with Pretrained Language Models.

[BibT_eX]

[DOI]

Stella Biderman

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Malware Analysis Using Metric Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Conference on Applied Machine Learning in Information Security, 2022

Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis?

[BibT_eX]

[DOI]

Proceedings of the Conference on Applied Machine Learning in Information Security, 2022

Out of Distribution Data Detection Using Dropout Bayesian Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels.

[BibT_eX]

[DOI]

CoRR, 2021

Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints.

[BibT_eX]

[DOI]

CoRR, 2021

Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery.

[BibT_eX]

[DOI]

CoRR, 2021

Semiring Primitives for Sparse Neighborhood Methods on the GPU.

[BibT_eX]

[DOI]

CoRR, 2021

Accounting for Variance in Machine Learning Benchmarks.

[BibT_eX]

[DOI]

Samira Ebrahimi Kahou

CoRR, 2021

Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning.

[BibT_eX]

[DOI]

Nazanin Mohammadi Sepahvand

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Learning with Holographic Reduced Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accounting for Variance in Machine Learning Benchmarks.

[BibT_eX]

[DOI]

Kanika Madan

Vikram Voleti

Samira Ebrahimi Kahou

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Exact Acceleration of K-Means++ and K-Means||.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary Labels.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Adversarial Transfer Attacks With Unknown Data and Class Overlap.

[BibT_eX]

[DOI]

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels.

[BibT_eX]

[DOI]

Robert J. Joyce

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Research Reproducibility as a Survival Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Bringing UMAP Closer to the Speed of Light with GPU Acceleration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Trimming the Thorns of AI Fairness Research.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2020

The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data.

[BibT_eX]

[DOI]

CoRR, 2020

Practical Cross-modal Manifold Alignment for Grounded Language.

[BibT_eX]

[DOI]

CoRR, 2020

Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning.

[BibT_eX]

[DOI]

Patrick Jenkins

Rishabh Sachdeva

CoRR, 2020

A Survey of Machine Learning Methods and Challenges for Windows Malware Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs.

[BibT_eX]

[DOI]

CoRR, 2020

Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors.

[BibT_eX]

[DOI]

Bobby Filar

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

COVID-19 Kaggle Literature Organization.

[BibT_eX]

[DOI]

Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 2020

Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory.

[BibT_eX]

[DOI]

Arash Rahnama

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Automatic Yara Rule Generation Using Biclustering.

[BibT_eX]

[DOI]

Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020

Sampling Approach Matters: Active Learning for Robotic Language Acquisition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A New Burrows Wheeler Transform Markov Distance.

[BibT_eX]

[DOI]

Mark McLean

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Heterogeneous Relational Kernel Learning.

[BibT_eX]

[DOI]

CoRR, 2019

KiloGrams: Very Large N-Grams for Malware Classification.

[BibT_eX]

[DOI]

CoRR, 2019

Connecting Lyapunov Control Theory to Adversarial Attacks.

[BibT_eX]

[DOI]

Arash Rahnama

CoRR, 2019

PyLZJD: An Easy to Use Tool for Machine Learning.

[BibT_eX]

[DOI]

Joe Aurelio

Proceedings of the 18th Python in Science Conference 2019 (SciPy 2019), Austin, Texas, July 8, 2019

A Step Toward Quantifying Independently Reproducible Machine Learning Research.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Barrage of Random Transforms for Adversarially Robust Defense.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Would a File by Any Other Name Seem as Malicious?

[BibT_eX]

[DOI]

Aaron Sant-Miller

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

An investigation of byte n-gram features for malware classification.

[BibT_eX]

[DOI]

J. Comput. Virol. Hacking Tech., 2018

Lempel-Ziv Jaccard Distance, an effective alternative to ssdeep and sdhash.

[BibT_eX]

[DOI]

Digit. Investig., 2018

Adversarial Attacks, Regression, and Numerical Stability Regularization.

[BibT_eX]

[DOI]

CoRR, 2018

Growing and Retaining AI Talent for the United States Government.

[BibT_eX]

[DOI]

CoRR, 2018

Gradient Reversal Against Discrimination.

[BibT_eX]

[DOI]

CoRR, 2018

Non-Negative Networks Against Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2018

What About Applied Fairness?

[BibT_eX]

[DOI]

CoRR, 2018

Toward Metric Indexes for Incremental Insertion and Querying.

[BibT_eX]

[DOI]

CoRR, 2018

Dr. AI, Where Did You Get Your Degree?

[BibT_eX]

[DOI]

Shannon Lantzy

Ezekiel J. Maier

Proceedings of the Artificial Intelligence in Health - First International Workshop, 2018

Neural Fingerprint Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Gradient Reversal against Discrimination: A Fair Neural Network Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Hash-Grams: Faster N-Gram Features for Classification and Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Document Engineering 2018, 2018

Engineering a Simplified 0-Bit Consistent Weighted Sampling.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Linear Models with Many Cores and CPUs: A Stochastic Atomic Update Scheme.

[BibT_eX]

[DOI]

Booz Allen Hamilton

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Hash-Grams On Many-Cores and Skewed Distributions.

[BibT_eX]

[DOI]

Booz Allen Hamilton

Mark McLean

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Fair Forests: Regularized Tree Induction to Minimize Model Bias.

[BibT_eX]

[DOI]