137 citations · 137 across the 7 of their papers we have counts for
10 papers
Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge
Sharayu Nilesh Deshmukh, Kailash A. Hambarde, Joana C. Costa +2
Current DeepFake detection scenarios are mostly binary, yet data manipulation can vary across audio, video, or both, whose variability is not captured in binary settings. Four-clas…
ZQBA: Zero Query Black-box Adversarial Attack
Joana C. Costa, Tiago Roxo, Hugo Proença +1
Current black-box adversarial attacks either require multiple queries or diffusion models to produce adversarial samples that can impair the target model performance. However, thes…
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks
Joana C. Costa, Tiago Roxo, Hugo Proença +1
State-of-the-art defense mechanisms are typically evaluated in the context of white-box attacks, which is not realistic, as it assumes the attacker can access the gradients of the…
ASDnB: Merging Face with Body Cues For Robust Active Speaker Detection
Tiago Roxo, Joana C. Costa, Pedro Inácio +1
State-of-the-art Active Speaker Detection (ASD) approaches mainly use audio and facial features as input. However, the main hypothesis in this paper is that body dynamics is also h…
BIAS: A Body-based Interpretable Active Speaker Approach
Tiago Roxo, Joana C. Costa, Pedro R. M. Inácio +1
State-of-the-art Active Speaker Detection (ASD) approaches heavily rely on audio and facial features to perform, which is not a sustainable approach in wild scenarios. Although the…
How to Squeeze An Explanation Out of Your Model
Tiago Roxo, Joana C. Costa, Pedro R. M. Inácio +1
Deep learning models are widely used nowadays for their reliability in performing various tasks. However, they do not typically provide the reasoning behind their decision, which i…
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana C. Costa, Tiago Roxo, Hugo Proença +1
Deep Learning is currently used to perform multiple tasks, such as object recognition, face recognition, and natural language processing. However, Deep Neural Networks (DNNs) are v…
WASD: A Wilder Active Speaker Detection Dataset
Tiago Roxo, Joana C. Costa, Pedro R. M. Inácio +1
Current Active Speaker Detection (ASD) models achieve great results on AVA-ActiveSpeaker (AVA), using only sound and facial features. Although this approach is applicable in movie…
YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition
Tiago Roxo, Hugo Proença
Soft biometrics inference in surveillance scenarios is a topic of interest for various applications, particularly in security-related areas. However, soft biometric analysis is not…
Is Gender "In-the-Wild" Inference Really a Solved Problem?
Tiago Roxo, Hugo Proença
Soft biometrics analysis is seen as an important research topic, given its relevance to various applications. However, even though it is frequently seen as a solved task, it can st…