Liam Fowl - RankMe

41 papers A* 8Misc 3Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	3D Gaussian Splatting with Normal Information for Mesh Extraction and Improved Rendering. ICASSP Workshops Meenakshi Krishnan, Liam Fowl, Ramani Duraiswami
2025	J	`jnl`	3D Gaussian Splatting with Normal Information for Mesh Extraction and Improved Rendering. CoRR Meenakshi Krishnan, Liam Fowl, Ramani Duraiswami
2024	J	`jnl`	Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion. CoRR Hossein Souri, Arpit Bansal, Hamid Kazemi, Liam Fowl, Aniruddha Saha, Jonas Geiping, Andrew Gordon Wilson, Rama Chellappa, Tom Goldstein, Micah Goldblum
2023	Misc	`conf`	Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting. ICASSP Beltrán Labrador, Guanlong Zhao, Ignacio López-Moreno, Angelo Scorza Scarpati, Liam Fowl, Quan Wang
2022	—	`—`	Analysis of Data Security Vulnerabilities in Deep Learning. Liam Fowl
2022	A*	`conf`	Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective. CVPR Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping-Yeh Chiang, Yehuda Dar, Richard G. Baraniuk, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective. CoRR Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping-Yeh Chiang, Yehuda Dar, Richard G. Baraniuk, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. CoRR Liam Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojtek Czaja, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	Execute Order 66: Targeted Data Poisoning for Reinforcement Learning. CoRR Harrison Foley, Liam Fowl, Tom Goldstein, Gavin Taylor
2022	J	`jnl`	Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting. CoRR Beltrán Labrador, Guanlong Zhao, Ignacio López-Moreno, Angelo Scorza Scarpati, Liam Fowl, Quan Wang
2022	A*	`conf`	Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. ICML Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. CoRR Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein
2022	—	`conf`	Poisons that are learned faster are more effective. CVPR Workshops Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein
2022	J	`jnl`	Poisons that are learned faster are more effective. CoRR Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein
2022	A*	`conf`	Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch. NeurIPS Hossein Souri, Liam Fowl, Rama Chellappa, Micah Goldblum, Tom Goldstein
2022	J	`jnl`	Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning. CoRR Yuxin Wen, Jonas Geiping, Liam Fowl, Hossein Souri, Rama Chellappa, Micah Goldblum, Tom Goldstein
2021	A*	`conf`	Adversarial Examples Make Strong Poisons. NeurIPS Liam Fowl, Micah Goldblum, Ping-Yeh Chiang, Jonas Geiping, Wojciech Czaja, Tom Goldstein
2021	J	`jnl`	Adversarial Examples Make Strong Poisons. CoRR Liam Fowl, Micah Goldblum, Ping-Yeh Chiang, Jonas Geiping, Wojtek Czaja, Tom Goldstein
2021	J	`jnl`	DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations. CoRR Eitan Borgnia, Jonas Geiping, Valeriia Cherepanova, Liam Fowl, Arjun Gupta, Amin Ghiasi, Furong Huang, Micah Goldblum, Tom Goldstein
2021	J	`jnl`	Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release. CoRR Liam Fowl, Ping-Yeh Chiang, Micah Goldblum, Jonas Geiping, Arpit Bansal, Wojtek Czaja, Tom Goldstein
2021	J	`jnl`	Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models. CoRR Liam Fowl, Jonas Geiping, Wojtek Czaja, Micah Goldblum, Tom Goldstein
2021	J	`jnl`	Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch. CoRR Hossein Souri, Micah Goldblum, Liam Fowl, Rama Chellappa, Tom Goldstein
2021	Misc	`conf`	Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff. ICASSP Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta
2021	J	`jnl`	What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors. CoRR Jonas Geiping, Liam Fowl, Gowthami Somepalli, Micah Goldblum, Michael Moeller, Tom Goldstein
2020	A*	`conf`	Adversarially Robust Distillation. AAAI Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein
2020	A*	`conf`	Adversarially Robust Few-Shot Learning: A Meta-Learning Approach. NeurIPS Micah Goldblum, Liam Fowl, Tom Goldstein
2020	—	`conf`	Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. ECCV Workshops (1) Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
2020	Misc	`conf`	Headless Horseman: Adversarial Attacks on Transfer Learning Models. ICASSP Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu
2020	J	`jnl`	Headless Horseman: Adversarial Attacks on Transfer Learning Models. CoRR Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu
2020	A*	`conf`	MetaPoison: Practical General-purpose Clean-label Data Poisoning. NeurIPS W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein
2020	J	`jnl`	MetaPoison: Practical General-purpose Clean-label Data Poisoning. CoRR W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein
2020	J	`jnl`	Random Network Distillation as a Diversity Metric for Both Image and Text Generation. CoRR Liam Fowl, Micah Goldblum, Arjun Gupta, Amr Sharaf, Tom Goldstein
2020	J	`jnl`	Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff. CoRR Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta
2020	—	`conf`	Understanding Generalization Through Visualizations. ICBINB@NeurIPS W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, J. K. Terry, Furong Huang, Tom Goldstein
2020	A*	`conf`	Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks. ICML Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein
2020	J	`jnl`	Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks. CoRR Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein
2020	J	`jnl`	Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. CoRR Jonas Geiping, Liam Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein
2019	J	`jnl`	Adversarially Robust Distillation. CoRR Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein
2019	J	`jnl`	Robust Few-Shot Learning with Adversarially Queried Meta-Learners. CoRR Micah Goldblum, Liam Fowl, Tom Goldstein
2019	J	`jnl`	Strong Baseline Defenses Against Clean-Label Poisoning Attacks. CoRR Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
2019	J	`jnl`	Understanding Generalization through Visualizations. CoRR W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, J. K. Terry, Furong Huang, Tom Goldstein