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A Closer Look at Robustness of Vision Transformers to Backdoor Attacks

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
2024 | Conference paper
Contributors: Subramanya, Akshayvarun; Koohpayegani, Soroush Abbasi; Saha, Aniruddha; Tejankar, Ajinkya; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

A collective AI via lifelong learning and sharing at the edge

Nature Machine Intelligence
2024 | Journal article
Contributors: Soltoggio, Andrea; Ben-Iwhiwhu, Eseoghene; Braverman, Vladimir; Eaton, Eric; Epstein, Benjamin; Ge, Yunhao; Halperin, Lucy; How, Jonathan; Itti, Laurent; Jacobs, Michael A et al.
Source: Self-asserted source
Hamed Pirsiavash

BrainWash: A Poisoning Attack to Forget in Continual Learning

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2024 | Conference paper
Contributors: Abbasi, Ali; Nooralinejad, Parsa; Pirsiavash, Hamed; Kolouri, Soheil
Source: Self-asserted source
Hamed Pirsiavash

Compact3d: Compressing gaussian splat radiance field models with vector quantization

European Conference on Computer Vision (ECCV)
2024 | Conference paper
Contributors: Navaneet, KL; Meibodi, Kossar Pourahmadi; Koohpayegani, Soroush Abbasi; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Compgs: Smaller and faster gaussian splatting with vector quantization

European Conference on Computer Vision
2024 | Conference paper
Contributors: Navaneet, KL; Meibodi, Kossar Pourahmadi; Koohpayegani, Soroush Abbasi; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

MCNC: Manifold Constrained Network Compression

arXiv preprint arXiv:2406.19301
2024 | Journal article
Contributors: Thrash, Chayne; Abbasi, Ali; Nooralinejad, Parsa; Koohpayegani, Soroush Abbasi; Andreas, Reed; Pirsiavash, Hamed; Kolouri, Soheil
Source: Self-asserted source
Hamed Pirsiavash

MoIN: Mixture of Introvert Experts to Upcycle an LLM

arXiv preprint arXiv:2410.09687
2024 | Journal article
Contributors: Tejankar, Ajinkya; Navaneet, KL; Panchal, Ujjawal; Pourahmadi, Kossar; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

One Category One Prompt: Dataset Distillation using Diffusion Models

arXiv preprint arXiv:2403.07142
2024 | Journal article
Contributors: Abbasi, Ali; Shahbazi, Ashkan; Pirsiavash, Hamed; Kolouri, Soheil
Source: Self-asserted source
Hamed Pirsiavash

Sima: Simple softmax-free attention for vision transformers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
2024 | Conference paper
Contributors: Koohpayegani, Soroush Abbasi; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2024 | Conference paper
Contributors: Navaneet, KL; Koohpayegani, Soroush Abbasi; Sleiman, Essam; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

A cookbook of self-supervised learning. arXiv 2023

arXiv preprint arXiv:2304.12210
2023 | Journal article
Contributors: Balestriero, R; Ibrahim, M; Sobal, V; Morcos, A; Shekhar, S; Goldstein, T; Bordes, F; Bardes, A; Mialon, G; Tian, Y
Source: Self-asserted source
Hamed Pirsiavash

Amenable sparse network investigator

Science and Information Conference
2023 | Conference paper
Contributors: Damadi, Saeed; Nouri, Erfan; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Defending against patch-based backdoor attacks on self-supervised learning

Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
2023 | Conference paper
Contributors: Tejankar, Ajinkya; Sanjabi, Maziar; Wang, Qifan; Wang, Sinong; Firooz, Hamed; Pirsiavash, Hamed; Tan, Liang
Source: Self-asserted source
Hamed Pirsiavash

GeNIe: Generative Hard Negative Images Through Diffusion

arXiv preprint arXiv:2312.02548
2023 | Journal article
Contributors: Koohpayegani, Soroush Abbasi; Singh, Anuj; Navaneet, KL; Jamali-Rad, Hadi; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

GeNIe: Generative Hard Negative Images Through Diffusion

arXiv e-prints
2023 | Journal article
Contributors: Abbasi Koohpayegani, Soroush; Singh, Anuj; Navaneet, KL; Jamali-Rad, Hadi; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

MASTAF: a model-agnostic spatio-temporal attention fusion network for few-shot video classification

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
2023 | Conference paper
Contributors: Liu, Xin; Zhang, Huanle; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Multi-agent lifelong implicit neural learning

IEEE Signal Processing Letters
2023 | Journal article
Contributors: Kolouri, Soheil; Abbasi, Ali; Koohpayegani, Soroush Abbasi; Nooralinejad, Parsa; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

NOLA: Networks as Linear Combination of Low Rank Random Basis

arXiv e-prints
2023 | Journal article
Contributors: Abbasi Koohpayegani, Soroush; Navaneet, KL; Nooralinejad, Parsa; Kolouri, Soheil; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

NOLA: Networks as Linear Combination of Low Rank Random Basis

International Conference on Learning Representations (ICLR) 2024
2023 | Conference paper
Contributors: Koohpayegani, Soroush Abbasi; Navaneet, KL; Nooralinejad, Parsa; Kolouri, Soheil; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

PRANC: Pseudo RAndom Networks for Compacting deep models

International Conference on Computer Vision (ICCV)
2023 | Conference paper
Contributors: Nooralinejad, Parsa; Abbasi, Ali; Abbasi Koohpayegani, Soroush; Pourahmadi Meibodi, Kossar; Muhammad Shahroz Khan, Rana; Kolouri, Soheil; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers

arXiv preprint arXiv:2310.02544
2023 | Journal article
Contributors: Navaneet, KL; Koohpayegani, Soroush Abbasi; Sleiman, Essam; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Surveying nutrient assessment with photographs of meals (SNAPMe): a benchmark dataset of food photos for dietary assessment

Nutrients
2023 | Journal article
Contributors: Larke, Jules A; Chin, Elizabeth L; Bouzid, Yasmine Y; Nguyen, Tu; Vainberg, Yael; Lee, Dong Hee; Pirsiavash, Hamed; Smilowitz, Jennifer T; Lemay, Danielle G
Source: Self-asserted source
Hamed Pirsiavash

A simple approach to adversarial robustness in few-shot image classification

arXiv preprint arXiv:2204.05432
2022 | Journal article
Contributors: Subramanya, Akshayvarun; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Adaptive Inverse Transform Sampling For Efficient Vision Transformers

European Conference on Computer Vision (ECCV); 2022
2022 | Conference paper
Contributors: Fayyaz, Mohsen; Koohpayegani, Soroush Abbasi; Jafari, Farnoush Rezaei; Sengupta, Sunando; Joze, Hamid Reza Vaezi; Sommerlade, Eric; Pirsiavash, Hamed; Gall, Juergen
Source: Self-asserted source
Hamed Pirsiavash

Adaptive token sampling for efficient vision transformers

European Conference on Computer Vision
2022 | Conference paper
Contributors: Fayyaz, Mohsen; Koohpayegani, Soroush Abbasi; Jafari, Farnoush Rezaei; Sengupta, Sunando; Joze, Hamid Reza Vaezi; Sommerlade, Eric; Pirsiavash, Hamed; Gall, Jürgen
Source: Self-asserted source
Hamed Pirsiavash

Adversarially Robust Few-shot Learning through Simple Transfer

ECCV Workshops: Adversarial Robustness in the Real World. Springer
2022 | Conference paper
Contributors: Subramanya, Akshayvarun; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Backdoor attacks on self-supervised learning

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2022 | Conference paper
Contributors: Saha, Aniruddha; Tejankar, Ajinkya; Koohpayegani, Soroush Abbasi; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Backdoor attacks on vision transformers

arXiv preprint arXiv:2206.08477
2022 | Journal article
Contributors: Subramanya, Akshayvarun; Saha, Aniruddha; Koohpayegani, Soroush Abbasi; Tejankar, Ajinkya; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Can we train vision and language zero-shot classification models without syntax?

NeurIPS 2022 Workshop: Self-Supervised Learning-Theory and Practice, 2022
2022 | Conference paper
Contributors: Tejankar, Ajinkya; Sanjabi, Maziar; Wu, Bichen; Khabsa, Madian; Xie, Saining; Pirsiavash, Hamed; Firooz, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Consistent explanations by contrastive learning

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2022 | Conference paper
Contributors: Pillai, Vipin; Koohpayegani, Soroush Abbasi; Ouligian, Ashley; Fong, Dennis; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Constrained mean shift using distant yet related neighbors for representation learning

European Conference on Computer Vision
2022 | Conference paper
Contributors: Navaneet, KL; Abbasi Koohpayegani, Soroush; Tejankar, Ajinkya; Pourahmadi, Kossar; Subramanya, Akshayvarun; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning

European Conference on Computer Vision
2022 | Conference paper
Contributors: Tejankar, Ajinkya; Koohpayegani, Soroush Abbasi; Navaneet, KL; Meibodi, Kossar Pourahmadi; Subramanya, Akshayvarun; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Is Multi-Task Learning an Upper Bound for Continual Learning?

ICASSP 2023
2022 | Journal article
Contributors: Wu, Zihao; Tran, Huy; Pirsiavash, Hamed; Kolouri, Soheil
Source: Self-asserted source
Hamed Pirsiavash

SimA: Simple Softmax-free Attention for Vision Transformers

arXiv e-prints
2022 | Journal article
Contributors: Abbasi Koohpayegani, Soroush; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Sparsity and heterogeneous dropout for continual learning in the null space of neural activations

Conference on Lifelong Learning Agents
2022 | Conference paper
Contributors: Abbasi, Ali; Nooralinejad, Parsa; Braverman, Vladimir; Pirsiavash, Hamed; Kolouri, Soheil
Source: Self-asserted source
Hamed Pirsiavash

A fistful of words: Learning transferable visual models from bag-of-words supervision

arXiv preprint arXiv:2112.13884
2021 | Journal article
Contributors: Tejankar, Ajinkya; Sanjabi, Maziar; Wu, Bichen; Xie, Saining; Khabsa, Madian; Pirsiavash, Hamed; Firooz, Hamed
Source: Self-asserted source
Hamed Pirsiavash

A simple baseline for low-budget active learning

arXiv preprint arXiv:2110.12033
2021 | Journal article
Contributors: Pourahmadi, Kossar; Nooralinejad, Parsa; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Constrained Mean Shift for Representation Learning

arXiv preprint arXiv:2110.10309
2021 | Journal article
Contributors: Tejankar, Ajinkya; Koohpayegani, Soroush Abbasi; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Explainable Models with Consistent Interpretations

AAAI 2021
2021 | Journal article
Contributors: Pillai, Vipin; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

MASTAF: A Spatio-Temporal Attention Fusion Network for Few-shot Video Classification

arXiv preprint arXiv:2112.04585
2021 | Journal article
Contributors: Liu, Rex; Zhang, Huanle; Pirsiavash, Hamed; Liu, Xin
Source: Self-asserted source
Hamed Pirsiavash

Mean Shift for Self-Supervised Learning

International Conference on Computer Vision (ICCV) 2021
2021 | Conference paper
Contributors: Koohpayegani, Soroush Abbasi; Tejankar, Ajinkya; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation

British Machine Vision Conference (BMVC) 2021.
2021 | Conference paper
Contributors: Navaneet, KL; Koohpayegani, Soroush Abbasi; Tejankar, Ajinkya; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Compress: Self-supervised learning by compressing representations

Neural Information Processing Systems (NeurIPS) 2020
2020 | Journal article
Contributors: Koohpayegani, Soroush Abbasi; Tejankar, Ajinkya; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Coot: Cooperative hierarchical transformer for video-text representation learning

Neural Information Processing Systems (NeurIPS) 2020
2020 | Journal article
Contributors: Ging, Simon; Zolfaghari, Mohammadreza; Pirsiavash, Hamed; Brox, Thomas
Source: Self-asserted source
Hamed Pirsiavash

ISD: Self-supervised learning by iterative similarity distillation

International Conference on Computer Vision (ICCV) 2021
2020 | Conference paper
Contributors: Tejankar, Ajinkya; Koohpayegani, Soroush Abbasi; Pillai, Vipin; Favaro, Paolo; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

On-chip voltage and temperature digital sensor for security, reliability, and portability

2020 IEEE 38th international conference on computer design (ICCD)
2020 | Conference paper
Contributors: Anik, Md Toufiq Hasan; Ebrahimabadi, Mohammad; Pirsiavash, Hamed; Danger, Jean-Luc; Guilley, Sylvain; Karimi, Naghmeh
Source: Self-asserted source
Hamed Pirsiavash

Role of spatial context in adversarial robustness for object detection

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
2020 | Conference paper
Contributors: Saha, Aniruddha; Subramanya, Akshayvarun; Patil, Koninika; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Universal litmus patterns: Revealing backdoor attacks in cnns

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2020 | Conference paper
Contributors: Kolouri, Soheil; Saha, Aniruddha; Pirsiavash, Hamed; Hoffmann, Heiko
Source: Self-asserted source
Hamed Pirsiavash

A simple baseline for domain adaptation using rotation prediction

arXiv preprint arXiv:1912.11903
2019 | Journal article
Contributors: Tejankar, Ajinkya; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash

Adversarial patches exploiting contextual reasoning in object detection

arXiv preprint arXiv:1910.00068
2019 | Journal article
Contributors: Saha, Aniruddha; Subramanya, Akshayvarun; Patil, Koninika; Pirsiavash, Hamed
Source: Self-asserted source
Hamed Pirsiavash
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