Hamed Pirsiavash

papers

1,213

total citations

papers (14)

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs

CVPR 2020arXiv

254

citations

Adaptive Token Sampling for Efficient Vision Transformers

ECCV 2022arXiv

223

citations

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

NEURIPS 2020arXiv

178

citations

Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning

ECCV 2022arXiv

citations

BrainWash: A Poisoning Attack to Forget in Continual Learning

CVPR 2024arXiv

citations

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers

CVPR 2024

citations

PRANC: Pseudo RAndom Networks for Compacting Deep Models

ICCV 2023arXiv

citations

Hamed Pirsiavash

papers (14)

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs

Adaptive Token Sampling for Efficient Vision Transformers

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

Backdoor Attacks on Self-Supervised Learning

CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization

CompRess: Self-Supervised Learning by Compressing Representations

Mean Shift for Self-Supervised Learning

ISD: Self-Supervised Learning by Iterative Similarity Distillation

Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning

Consistent Explanations by Contrastive Learning

Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning

BrainWash: A Poisoning Attack to Forget in Continual Learning

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers

PRANC: Pseudo RAndom Networks for Compacting Deep Models

papers (14)

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs

Adaptive Token Sampling for Efficient Vision Transformers

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

Backdoor Attacks on Self-Supervised Learning

CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization

CompRess: Self-Supervised Learning by Compressing Representations

Mean Shift for Self-Supervised Learning

ISD: Self-Supervised Learning by Iterative Similarity Distillation

Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning

Consistent Explanations by Contrastive Learning

Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning

BrainWash: A Poisoning Attack to Forget in Continual Learning

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers

PRANC: Pseudo RAndom Networks for Compacting Deep Models