Protecting Against Image/Video Manipualtions
A recent paper in T-IP proposed a novel deep network architecture for identifying image forgeries and presented results on multiple state-of-the-art datasets. A paper in NDSS-19 proposed how an adversary could design perturbations in video classification systems.
- Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries, IEEE Trans. on Image Processing, 2019.
- Adversarial Perturbations Against Real-Time Video Classification Systems, Network and Distributed System Security Symposium (NDSS). 2019.