Avi Schwarzschild

发表

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks pdf

Micah Goldblum, Tom Goldstein, Avi Schwarzschild, 2020, ICML.

Data Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

A. Madry, Xinyun Chen, D. Song, 2020 .

Adversarial Attacks on Machine Learning Systems for High-Frequency Trading

Ankit B. Patel, T. Goldstein, Avi Schwarzschild, 2020, ArXiv.

Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks pdf

Uzi Vishkin, Micah Goldblum, Tom Goldstein, 2021, NeurIPS.

Datasets for Studying Generalization from Easy to Hard Examples

Furong Huang, T. Goldstein, Avi Schwarzschild, 2021, ArXiv.

Transfer Learning with Deep Tabular Models

A. G. Wilson, T. Goldstein, Avi Schwarzschild, 2022, ICLR.

Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory

T. Goldstein, Avi Schwarzschild, Micah Goldblum, 2019, ICLR.

End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking

Furong Huang, T. Goldstein, Avi Schwarzschild, 2022, ArXiv.

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

A. Madry, Xinyun Chen, D. Song, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training pdf

Micah Goldblum, Tom Goldstein, Avi Schwarzschild, 2021, ArXiv.

A Cookbook of Self-Supervised Learning

Ari S. Morcos, Yann LeCun, H. Pirsiavash, 2023, ArXiv.

Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective

Keegan E. Hines, Avi Schwarzschild, John Dickerson, 2023, AIES.

Universal Guidance for Diffusion Models

T. Goldstein, Avi Schwarzschild, Micah Goldblum, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks

John P. Dickerson, T. Goldstein, Avi Schwarzschild, 2020, ICML.

Adversarial attacks on machine learning systems for high-frequency trading pdf

Micah Goldblum, Tom Goldstein, Avi Schwarzschild, 2020, ICAIF.

MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data pdf

Micah Goldblum, Tom Goldstein, Avi Schwarzschild, 2021, ArXiv.

Neural Auctions Compromise Bidder Information

Michael J. Curry, John P. Dickerson, T. Goldstein, 2023, ArXiv.

A Cookbook of Self-Supervised Learning

Ari S. Morcos, Yann LeCun, H. Pirsiavash, 2023, ArXiv.

The Uncanny Similarity of Recurrence and Depth

T. Goldstein, Avi Schwarzschild, Micah Goldblum, 2021, ICLR.

Transfer Learning with Deep Tabular Models

T. Goldstein, Avi Schwarzschild, Micah Goldblum, 2022, ICLR.

Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Avi Schwarzschild, Micah Goldblum, Jonas Geiping, 2023, ArXiv.

NEFTune: Noisy Embeddings Improve Instruction Finetuning

Avi Schwarzschild, Micah Goldblum, B. Kailkhura, 2023, ArXiv.

Effective Backdoor Mitigation Depends on the Pre-training Objective

Soumye Singhal, Avi Schwarzschild, Sahil Verma, 2023, ArXiv.

Headless Horseman: Adversarial Attacks on Transfer Learning Models

Liam Fowl, Tom Goldstein, Christoph Studer, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).