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Found 6 papers, 1 papers with code
Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign
This paper introduces RoSeMary, the first-of-its-kind ML/Crypto codesign watermarking framework that regulates LLM-generated code to avoid intellectual property rights violations and inappropriate misuse in software development.
LiveTune: Dynamic Parameter Tuning for Feedback-Driven Optimization
Extensive evaluations of our framework on standard machine learning training pipelines show saving up to 60 seconds and 5. 4 Kilojoules of energy per hyperparameter change.
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression
Experimental results demonstrate that NetFlick can successfully deteriorate the performance of video compression frameworks in both digital- and physical-settings and can be further extended to attack downstream video classification networks.
Tailor: Altering Skip Connections for Resource-Efficient Inference
We argue that while a network's skip connections are needed for the network to learn, they can later be removed or shortened to provide a more hardware efficient implementation with minimal to no accuracy loss.
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs
In this work, we design the first accelerator platform FastStamp to perform DNN based steganography and digital watermarking of images on hardware.
zPROBE: Zero Peek Robustness Checks for Federated Learning
However, keeping the individual updates private allows malicious users to perform Byzantine attacks and degrade the accuracy without being detected.
