Stability does indeed mean that small changes in the data lead to small changes in the solution. This can be shown for the linear advection equation through the energy method; in proving the stability of a discretization, we seek to mimic the energy estimate of the exact problem. Considering the PDE,
$$
\frac{\partial u}{\partial t} + a \frac{\partial u}{\partial x} = 0, \quad x \in \Omega \equiv (x_L, x_R), \quad t \in I\equiv(0,T), \quad a > 0,
$$
subject to the initial condition
$
u(x, t=0) = u_0(x)
$
and the inflow boundary condition
$
u(x =x_L, t) = u_L(t),
$
we can apply the energy method by multiplying the PDE by $u$ and integrating over $\Omega$:
$$
\int_\Omega u \frac{\partial u}{\partial t} \,\mathrm{d}x + a\int_\Omega u \frac{\partial u}{\partial x} \,\mathrm{d}x = 0.
$$
By the chain rule, we note that
$$
u \frac{\partial u}{\partial t} = \frac{1}{2}\frac{\partial}{\partial t}\left(u^2\right),
$$
and applying integration by parts,
$$
\int_\Omega u \frac{\partial u}{\partial x} \,\mathrm{d}x = \frac{1}{2}u^2\Big|_{x_L}^{x_R}.
$$
Therefore,
$$
\int_\Omega\frac{\partial}{\partial t}\left(u^2\right) \,\mathrm{d}x = -au^2\Big|_{x_L}^{x_R} = -a\left[u(x=x_R, t)\right]^2 + a\left[u_L(t)\right]^2.
$$
Applying Leibniz's rule on the left-hand side and noting that $-a\left[u(x=x_R, t)\right]^2 \leq 0$,
$$
\frac{\mathrm{d}}{\mathrm{d}t}||u(\cdot,t)||_{L^2(\Omega)}^2 \leq a\left[u_L(t)\right]^2.
$$
Integrating in time gives us
$$
||u(\cdot,T)||_{L^2(\Omega)}^2 - ||u_0||_{L^2(\Omega)}^2 \leq a \int_{I} [u_L(t)]^2\,\mathrm{d}t,
$$
so the solution is bounded in terms of the problem data (the initial and boundary conditions) as
$$
||u(\cdot,T)||_{L^2(\Omega)}^2 \leq ||u_0||_{L^2(\Omega)}^2 + a \int_{I} [u_L(t)]^2\,\mathrm{d}t,
$$
which corresponds to your notion of stability. In the homogeneous case where $u_L = 0$, we recover
$$
\frac{\mathrm{d}}{\mathrm{d}t}||u(\cdot,t)||_{L^2(\Omega)}^2 \leq 0,
$$
which (through integration in time) implies that
$$
||u(\cdot,T)||_{L^2(\Omega)}^2 \leq ||u_0||_{L^2(\Omega)}^2.
$$
The discontinuous Galerkin method mimics such an energy estimate for the linear advection equation (as does any scheme which satisfies a generalized summation-by-parts property, provided that interface and boundary conditions are treated appropriately). It is common to assume a homogeneous inflow boundary condition and simply show that the energy is nonincreasing with time; however, as we have seen, the motivation for doing so is to bound the solution in terms of the data of the problem.