All-optical multilevel physical unclonable functions.

Disordered photonic structures are promising for the realization of physical unclonable functions-physical objects that can overcome the limitations of conventional digital security and can enable cryptographic protocols immune against attacks by future quantum computers. The physical configuration of traditional physical unclonable functions is either fixed or can only be permanently modified, allowing one token per device and limiting their practicality. Here we overcome this limitation by creating reconfigurable structures made by light-transformable polymers in which the physical structure of the unclonable function can be reconfigured reversibly.

Covert Task Embedding: Turning a DNN Into an Insider Agent Leaking Out Private Information.

We present the covert task embedding (CTE) attack, a new general threat affecting deep neural networks (DNNs). The new attack consists in hiding a malicious privacy-sensitive task within a seemingly innocuous network, in such a way that the result of the malicious task is delivered together with the legitimate output in a stealthy way. The result of the covert task is further protected by requiring that its extraction depends on a secret key shared by the embedder and the detector.

Detection Games under Fully Active Adversaries.

We study a binary hypothesis testing problem in which a defender must decide whether a test sequence has been drawn from a given memoryless source P 0 , while an attacker strives to impede the correct detection. With respect to previous works, the adversarial setup addressed in this paper considers an attacker who is active under both hypotheses, namely, a fully active attacker, as opposed to a partially active attacker who is active under one hypothesis only. In the fully active setup, the attacker distorts sequences drawn both from P 0 and from an alternative memoryless source P 1 , up to a certain distortion level, which is possibly different under the two hypotheses, to maximize the confusion in distinguishing between the two sources, i.

Visuohaptic discrimination of 3D gross shape.

Human sensitivity to 3D gross shape changes was measured for the visual and haptic sensory channels. Three volume-invariant affine transformations were defined: compressing, shearing and stretching. Participants discriminated a reference 3D object (cube or sphere) from its deformed shape under three experimental conditions: visual only (on a computer monitor), haptic only (through a point-contact force-feedback device) and visuohaptic simulations.

A full-reference quality metric for geometrically distorted images.

In multimedia applications, there has been an increasing interest in the use of quality measures based on human perception; however, research has not dealt with distortions due to geometric transformations. In this paper, we propose a method to objectively assess the perceptual quality of geometrically distorted images, based on image features processed by human vision. The proposed approach is a full-reference image quality metric focusing on the problem of local geometric distortions and is based on the use of Gabor filters that have received considerable attention because the characteristics of certain cells in the visual cortex of some mammals can be approximated by these filters.