Search Results for author: Michael-Andrei Panaitescu-Liess

Found 2 papers, 2 papers with code

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts

1 code implementation • 2 Aug 2023 • Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang

Inspired by it, we observe that providing CLIP with contextual attributes improves zero-shot image classification and mitigates reliance on spurious features.

Classification Image Classification +4

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Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes

1 code implementation • NeurIPS 2021 • Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yiğitcan Kaya, Tudor Dumitraş

Following this framework, we present three attacks we carry out with quantization: (i) an indiscriminate attack for significant accuracy loss; (ii) a targeted attack against specific samples; and (iii) a backdoor attack for controlling the model with an input trigger.

Backdoor Attack Federated Learning +1

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