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05/31/2023
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Watermarking the outputs of generative models is a crucial technique for...
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04/05/2023
JPEG Compressed Images Can Bypass Protections Against AI Editing
Recently developed text-to-image diffusion models make it easy to edit o...
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02/07/2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
The strength of modern generative models lies in their ability to be con...
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01/24/2023
A Watermark for Large Language Models
Potential harms of large language models can be mitigated by watermarkin...
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12/13/2022
What do Vision Transformers Learn? A Visual Exploration
Vision transformers (ViTs) are quickly becoming the de-facto architectur...
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12/07/2022
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
Cutting-edge diffusion models produce images with high quality and custo...
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10/23/2022
K-SAM: Sharpness-Aware Minimization at the Speed of SGD
Sharpness-Aware Minimization (SAM) has recently emerged as a robust tech...
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08/19/2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Standard diffusion models involve an image transform – adding Gaussian n...
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01/29/2022
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
A central tenet of Federated learning (FL), which trains models without ...
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07/05/2021
Long-Short Transformer: Efficient Transformers for Language and Vision
Transformers have achieved success in both language and vision domains. ...
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04/18/2021
The Intrinsic Dimension of Images and Its Impact on Learning
It is widely believed that natural image data exhibits low-dimensional s...
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02/26/2021
What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors
Data poisoning is a threat model in which a malicious actor tampers with...
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02/22/2021
Thinking Deeply with Recurrence: Generalizing from Easy to Hard Sequential Reasoning Problems
Deep neural networks are powerful machines for visual pattern recognitio...
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02/16/2021
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
Changes in neural architectures have fostered significant breakthroughs ...
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11/24/2020
Analyzing the Machine Learning Conference Review Process
Mainstream machine learning conferences have seen a dramatic increase in...
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09/04/2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Data Poisoning attacks involve an attacker modifying training data to ma...
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06/22/2020
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Data poisoning and backdoor attacks manipulate training data in order to...
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10/31/2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors
We present a systematic study of adversarial attacks on state-of-the-art...
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04/29/2019
Adversarial Training for Free!
Adversarial training, in which a network is trained on adversarial examp...
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11/28/2017
PhasePack: A Phase Retrieval Library
Phase retrieval deals with the estimation of complex-valued signals sole...
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12/09/2015
