Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Are socially-aware trajectory prediction models really socially-aware?   Our field has recently witnessed an arms race of neural network-based
trajectory predictors. While these predictors are at the core of many
applications such as autonomous navigation or pedestrian flow simulations,
their adversarial robustness has not been carefully studied. In this paper, we
introduce a socially-attended attack to assess the social understanding of
prediction models in terms of collision avoidance. An attack is a small yet
carefully-crafted perturbations to fail predictors. Technically, we define
collision as a failure mode of the output, and propose hard- and soft-attention
mechanisms to guide our attack. Thanks to our attack, we shed light on the
limitations of the current models in terms of their social understanding. We
demonstrate the strengths of our method on the recent trajectory prediction
models. Finally, we show that our attack can be employed to increase the social
understanding of state-of-the-art models. The code is available online:
https://s-attack.github.io/

8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
19
The categories of this paper are: eess
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th