1 code implementation • 25 Mar 2024 • Hossein Souri, Arpit Bansal, Hamid Kazemi, Liam Fowl, Aniruddha Saha, Jonas Geiping, Andrew Gordon Wilson, Rama Chellappa, Tom Goldstein, Micah Goldblum
As a result, we may be able to craft more potent poisons by carefully choosing the base samples.
2 code implementations • NeurIPS 2023 • Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein
Battle of the Backbones (BoB) makes this choice easier by benchmarking a diverse suite of pretrained models, including vision-language models, those trained via self-supervised learning, and the Stable Diffusion backbone, across a diverse set of computer vision tasks ranging from classification to object detection to OOD generalization and more.
1 code implementation • 17 Oct 2022 • Yuxin Wen, Jonas Geiping, Liam Fowl, Hossein Souri, Rama Chellappa, Micah Goldblum, Tom Goldstein
Federated learning is particularly susceptible to model poisoning and backdoor attacks because individual users have direct control over the training data and model updates.
2 code implementations • 20 May 2022 • Ravid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann Lecun, Andrew Gordon Wilson
Deep learning is increasingly moving towards a transfer learning paradigm whereby large foundation models are fine-tuned on downstream tasks, starting from an initialization learned on the source task.
no code implementations • 15 Mar 2022 • Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, Micah Goldblum, Tom Goldstein
This is an unfortunate omission, as 'imbalance' is a more complex matter in identification; imbalance may arise in not only the training data, but also the testing data, and furthermore may affect the proportion of identities belonging to each demographic group or the number of images belonging to each identity.
no code implementations • 12 Dec 2021 • Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa
Under JSTM, we develop novel adversarial attacks and defenses.
no code implementations • 9 Dec 2021 • Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa
In other words, we can make a weak model more robust with the help of a strong teacher model.
no code implementations • 13 Oct 2021 • Hossein Souri, Pirazh Khorramshahi, Chun Pong Lau, Micah Goldblum, Rama Chellappa
The adversarial attack literature contains a myriad of algorithms for crafting perturbations which yield pathological behavior in neural networks.
no code implementations • ICLR 2022 • Renkun Ni, Manli Shu, Hossein Souri, Micah Goldblum, Tom Goldstein
Contrastive learning has recently taken off as a paradigm for learning from unlabeled data.
1 code implementation • 16 Jun 2021 • Hossein Souri, Liam Fowl, Rama Chellappa, Micah Goldblum, Tom Goldstein
In contrast, the Hidden Trigger Backdoor Attack achieves poisoning without placing a trigger into the training data at all.
no code implementations • 1 Jan 2021 • Arpit Amit Bansal, Ping-Yeh Chiang, Michael Curry, Hossein Souri, Rama Chellappa, John P Dickerson, Rajiv Jain, Tom Goldstein
Watermarking is a commonly used strategy to protect creators' rights to digital images, videos and audio.
no code implementations • 24 Sep 2020 • Pirazh Khorramshahi, Hossein Souri, Rama Chellappa, Soheil Feizi
To tackle this issue, we take an information-theoretic approach and maximize a variational lower bound on the entropy of the generated samples to increase their diversity.
no code implementations • 14 Jun 2020 • Prithviraj Dhar, Joshua Gleason, Hossein Souri, Carlos D. Castillo, Rama Chellappa
Therefore, we present a novel `Adversarial Gender De-biasing algorithm (AGENDA)' to reduce the gender information present in face descriptors obtained from previously trained face recognition networks.
no code implementations • 7 Oct 2019 • Chun Pong Lau, Hossein Souri, Rama Chellappa
To mitigate the degradation due to turbulence which includes deformation and blur, we propose a generative single frame restoration algorithm which disentangles the blur and deformation due to turbulence and reconstructs a restored image.